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The University of World Economy and Diplomacy (UWED)

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Tashkent City, Uzbekistan
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About The University of World Economy and Diplomacy (UWED)

Basic information and contact details for The University of World Economy and Diplomacy (UWED)

institution

The University of World Economy and Diplomacy is located in Tashkent, the capital of Uzbekistan. It was founded on 23 September 1992 by a presidential decree to train future leaders of the country.

The university is a public institution that provides education in support of Uzbekistan’s foreign policy and contributes to societal and individual development. It has a strong alumni network.

The university offers a five-year undergraduate degree programme and a two-year master's degree programme. Doctoral degrees are available in selected disciplines. 

Teaching focuses on international relations, political science, global economy, and law. Instruction is provided by three departments, 22 chair departments, and eight centres, with 16 full professors, more than 70 holders of Doctor or Candidate of Sciences degrees, 55 associate professors, and 87 qualified faculty members.

Undergraduate faculties include international economic relations, international relations, and international law.

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VANGUARD - Postdoc in Network Tensor Completion

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


About Mohammed VI Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and the African continent and to advance applied research and innovation. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the department Vanguard works on the development of innovative and interdisciplinary applied research projects. From technological innovation to the transfer of research to industry, Vanguard has also the mission of developing an ecosystem of related start-ups. For more information about our Center, please visit our webpage: https://vanguard.um6p.ma/ Offer description: There are many systems of interest to scientists that are composed of individual parts or components linked together in some way. Examples include the Internet, a collection of computers linked by data connections, human societies, which are collections of people linked by acquaintance or social interaction, transportation systems and biological interactions. These systems are represented as networks. A network is a set of objects that are connected to each other in some fashion. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between the objects. Many real world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation. The train and bus routes are different types of connections and should in some models be represented by different kinds of edges. These kind of situations can be modeled using multilayer networks which emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be represented by a 4th order tensor A 2RN_L_N_L  where L is the number of the layers (transportation means) and N is the number of nodes (stations or stops). Using convenient tensor products, the goal is to define measures to analyze different multidimensional networks based on their adjacency tensors. However, collecting all the interactions in the systems and sometimes even observing all the components is a challenging task. In most cases, only a sample of a network is observed. Therefore, network completion needs to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non fully observed data. These methods can be applied to complete or predict links in a network. However, missing information in a network can include both missing edges and nodes which makes classical matrix completion method insufficient. However,we may collect other information and features about the elements of the network. Therefore, side information about the nodes along with the observed edges need to be exploited. The problem of network completion arrises also for applications where the network has a multidimensional representation such as multiplexes and multilayer networks. Since multidimensional networks can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and video reconstruction. However, the same issue arises, tensor completion methods can not be directly applied to recover the links of the network giving the fact that the data is sparse most of the time. We aim to use auxiliary information about the multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover missing links in a multilayer network with connected components. An important constraint in network completion is that the factorization must only capture the non zero entries of the tensor. The remaining entries are treated as missing values, not actual zeros as is often the case in sparse tensor and matrix operations. Therefore, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing multidimensional networks by studying the theoretical foundations behind randomized algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for  parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel algorithms and methodologies for tensor completion in multidimensional networks. This includes exploring optimization techniques, tensor decompositions, and incorporating auxiliary information for more accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different measures and metrics for characterizing network connectivity and relationships. Sparse Optimization: Address the challenge of sparse optimization for tensors by integrating randomized algorithms into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social sciences. This involves effective communication and coordination to ensure the successful integration of mathematical methods into practical systems. Publication and Dissemination: Publish research findings in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course of the project. Mentorship and Training: Provide mentorship and guidance to graduate students and junior researchers involved in related projects. Share expertise and knowledge in applied mathematics, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired.

Salary

Competitive

Posted

13 Mar 2026

CAS - Postdoc in Africa in the Work of Mokhtar Soussi

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Département / Department :  Unité / Unit: Center for African Studies Université / University: Mohammed VI Polytechnic University  Intitulé de l’offre Postdoc / Title of the Postdoc offer: L’Afrique dans l’œuvre de Mokhtar Soussi Summary of the subject: One of the missions of the Center for African Studies is to document health and environmental issues. The candidate must have an interest in one or both of these fields, from an anthropological side. Health issues (infectious diseases) and environmental issues (biodiversity erosion) are to be documented. Responsibilities and tasks planned:  The work will focus on: Bibliographic review, Report and scientific publications. organizing workshop courses Skills required for the position: The candidate must have: PHD with skills in one of the following fields: history, philosophy, anthropology, sociology, psychology Rigor / motivation, Good communication skills, Teamwork An appropriate scientific background allowing him to deal with research questions, being able to mobilize the main approaches available in the field Sufficient scientific and methodological hindsight to understand the level of relevance of research approaches and to be able to combine them in an astute way in the analysis, definition, and resolution of project problems A minimum experience (professional or research) allowing him to move forward quickly and efficiently in a bibliographic analysis on a given theme and in the writing of scientific journals and articles.

Salary

Competitive

Posted

13 Mar 2026

ACER-CoE - Professor in Advanced Water Desalination Technologies

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa, UM6P aims to position these fields as the forefront and become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. Job Description: The Applied Chemistry and Engineering Research Center of Excellence (ACER CoE) at Mohammed VI Polytechnic University invites applications for faculty positions specialized in water desalination processes and technologies. The positions are open to individuals who hold MS degree and PhD in water desalination or closely related engineering fields. Preference will be given to those with proven excellence in research achievements; a strong track record in publications top tier journals, and established international  career in academia and/or in industry. Proven records in  fund acquisition, the co-supervision of MS and PhD students, and teaching efforts are required. Also, excellent communication  and writing skills in English are mandatory. Key duties: Successful candidates are expected to: Perform multidisciplinary research on desalination and membrane processes, and contribute in developing funded research programs, with a special emphasis on innovative and sustainable technologies for seawater desalination, fouling mitigation  and brine management Develop and teach courses at the under and postgraduate levels related to the candidate's areas of research in seawater and brackish water desalination. Supervise PhDs and young researchers Participate in writing proposals and managing extramural funding Publish the results in refereed top-tier international journals. Pursue scholarly and professional activities that will keep him/her at the leading edge of his/her field. Criteria of the candidate: PhD in the subject discipline At least 5 years of proven experience in the subject discipline Relevant experience in the subject discipline as a faculty member, postdoctoral researcher or in industry would be an asset  Established track record in R&D, teaching, and fundraising Proven hands-on expertise with membrane-based technologies for desalination  Experience with the mitigation of fouling phenomena and/or management of desalination brine is a plus. Demonstrated mastering of operational requirements for a successful research project and managing resources. Prior co-supervising PhDs and young researchers Ability to generate new ideas, or build upon existing ones, to generate innovative and  marketable concepts and solutions. UM6P.

Salary

Competitive

Posted

13 Mar 2026

CBS - Post-Doctoral Fellowship in Advanced Magnetic and Electromagnetic Separation and Speciation

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Post-Doctoral Fellowship in Advanced Magnetic and Electromagnetic Separation and Speciation of Metallic Minerals Benguerir-Jorf Lasfar The CBS department of Mohammed VI Polytechnic University is launching a call for applications for a post-doctoral fellowship specializing in magnetic/electromagnetic separation in solid and liquid matrices. Applicants should have a thorough understanding of the principles of magnetic separation and magnetic phenomena, as well as expertise in experimental methods to study the interactions between magnetic fields and solid and liquid materials. Additionally, knowledge of the physical and chemical properties of materials, particularly their magnetism, is required. The postdoctoral fellow will join the CBS-IGSAC department where they will be responsible for participating in the conduct of a research program on the valorization of phosphate by-products and its derivatives. The focus will be on developing and executing studies on magnetic/electromagnetic techniques for the separation, concentration, recovery, or destruction of certain elements. Therefore, the chosen candidate will be expected to contribute to the performance of a wide range of scale-up studies of a magnetic and electromagnetic separation process to validate the selection of the appropriate design for treating, concentrating, and purifying the matrices under investigation. Job Description: The position is open to candidates with a PhD or equivalent in a relevant discipline from a recognized university. Applicants must demonstrate that their doctoral work and previous experience are related to one or more aspects of magnetic separation, particularly in the context of mineral processing or environmental applications. Candidates with the following qualifications are encouraged to apply: Experience in the separation/purification of industrial effluents, particularly with electromagnetic/magnetic technologies. Proven experience in extracting valuable substances through magnetic separation methods. Excellent communication skills, both oral and written. Fluency in English is a requirement. Candidate Criteria: A PhD, or equivalent, in applied chemistry, physics, materials science, or a relevant discipline with a focus on magnetic separation of metal(loid)s. Strong familiarity with the magnetic properties of metal(loid)s and minerals, demonstrating the capability to separate them from complex matrices. Expertise in metal(loid)s speciation and their physicochemical properties. Good Background in magnetic and electromagnetic separation techniques and the scale-up process. Prior experience in selectively separating metal(loid)s from low-grade ores or by-products. Planned Activities: Conduct scientific research within the project team. Train and supervise second- and third-year doctoral students to prepare them for their defense. Execute magnetic/electromagnetic separation experiments with precision and accuracy,  Utilize advanced methodologies and techniques to effectively separate target components from complex matrices using magnetic field. Monitor ongoing experiments and adjust settings as needed. Maintain high standards and quality in laboratory operations. Job Requirements: Comprehensive understanding of the principles of magnetic separation. Profound knowledge of magnetic phenomena and properties of magnetic materials. Previous experience in designing and conducting laboratory experiments to investigate the interactions between magnetic, electromagnetic fields and solid, liquid materials is essential. Competence in materials characterization. Strong analytical and problem-solving skills, including the ability to interpret and analyze simulation and/or experiment results. Familiarity with safety protocols and quality control measures in the laboratory. Ability to collaborate effectively as part of a research team. Application and selection process: The application package must include: A cover letter detailing the candidate's motivation for applying for this position. A complete curriculum vitae. Brief research statement. Contact details of three referees. The candidate must be highly motivated and capable of working independently. They should possess expertise in the application of magnetic and electromagnetic fields, along with demonstrated experience in conducting and executing such studies. Additionally, familiarity with techniques of speciation technology would be advantageous.

Salary

Competitive

Posted

13 Mar 2026

CBS - Postdoctoral Research Fellow in Antimicrobial Resistance and Resistome Mapping

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Institution/Department Mohammed VI Polytechnic University Chemical & biochemical sciences.green process engineering Research Unit on Microbiome and Host-Pathogen Interactions Project Overview: We are looking for a highly motivated Postdoctoral Research Fellow to join our interdisciplinary team focused on antimicrobial resistance (AMR). The selected candidate will have a vital role in an innovative project that aims to map the resistome and clarify the mechanisms of multidrug resistance across diverse microbiomes—comprising clinical, environmental, and host-associated microbial communities. This project seeks to comprehend how antimicrobial resistance genes (ARGs) disseminate within microbial populations via horizontal gene transfer (HGT) and mobile genetic elements (MGEs) and how these processes affect human health, particularly regarding colorectal cancer (CRC). Key Responsibilities: Perform shotgun metagenomics and whole-genome sequencing (WGS) on microbial samples from various environments (clinical, environmental, tumor-associated microbiomes). Develop and implement bioinformatics pipelines for resistome, mobilome, and virulome profiling using tools such as MEGARes, CARD, VFDB, and PlasmidFinder. Investigate horizontal gene transfer (HGT) dynamics and plasmid-mediated dissemination of ARGs across microbial communities. Conduct phylogenetic and comparative genomic analyses to uncover the evolution of multidrug resistance in pathogenic bacteria. Analyze co-occurrence networks between resistance genes, virulence factors, and mobile elements in microbiome datasets. Collaborate with clinical partners and microbiome researchers to integrate multi-omics data for comprehensive resistome analysis. Publish high-quality research articles and present findings at international conferences. Contribute to grant writing and development of new research proposals. Required Qualifications: PhD in Microbial Genomics, Bioinformatics, Molecular Microbiology, Infectious Disease Biology, or a related field. Proven experience with high-throughput sequencing technologies (Illumina, Nanopore) and metagenomic analyses. Strong background in bioinformatics tools for microbiome analysis (QIIME2, Kraken2, MetaPhlAn) and AMR gene identification (MEGARes, CARD, ResFinder). Proficiency in Python, R, or Perl, with experience in Linux/Unix environments. Solid understanding of antimicrobial resistance mechanisms, horizontal gene transfer, and mobile genetic elements. Evidence of scientific publications in peer-reviewed journals. Excellent communication and teamwork skills. Preferred Qualifications: Experience in clinical microbiome research, oncology microbiomes, or environmental resistome surveillance. Familiarity with spatial metagenomics, single-cell microbiome analysis, or multi-omics data integration. Knowledge of machine learning approaches for resistome prediction or biomarker discovery is a plus. Why Join Us? Access to cutting-edge technologies (mass spectrometry, next-gen sequencing, high-performance computing). Work on high-impact research addressing one of the urgent challenges in global health—antimicrobial resistance. Collaborate with a multidisciplinary team of microbiologists, bioinformaticians, clinicians, and data scientists. Opportunity to lead high-profile publications and contribute to international consortia. Career development support, including grant writing, conference funding, and training opportunities. Application Process: Applicants should submit the following in a single PDF file: A Cover Letter explaining their interest and fit for the position A detailed Curriculum Vitae (CV) Names and contact details of 2–3 references Up to three key publications (optional)

Salary

Competitive

Posted

13 Mar 2026

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Subjects Taught at The University of World Economy and Diplomacy (UWED)

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Arts and Humanities

  • History, Philosophy and Theology
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Business and Economics

  • Accounting and Finance
  • Business and Management
  • Economics and Econometrics

Law

  • Law

Physical Sciences

  • Mathematics and Statistics

Social Sciences

  • Communication and Media Studies
  • Politics and International Studies