Donetsk National University of Economics and Trade named after Mykhailo Tuhan-Baranovsky (DonNUET)

Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About ACER CoE: The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job description: The successful candidate will: Undertake original research of international excellence. Prepare papers for publication in leading journals and/or contribute to the dissemination at national/international conferences, workshops and meetings. Communicate to the research projects team the development, progress and results of research activities. Develop collaborative links with the core scientific staff in related program areas to gain exposure and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and implementation. Identify areas of improvement within the research structure using integrated management approaches in pursuit of capacity building/strengthening and the preservation of scientific rigor in research studies. Support if required, the development of proposals for research funding. Develop undergraduate courses, Master courses and modules. Support the appropriate equipment purchasing and ability to deal with international suppliers. Assist to the supervision of Ph.D. students and guide their research work Candidate Profile: Due to the multidisciplinary character of ACER CoE, the ideal candidate must have as well a multidisciplinary scientific profile: PhD degree in Materials Science, Chemistry, Crystallography Knowledge in crystallization technics Expertise in solving crystal structure using single-crystal X-ray diffraction data. Experience in solving crystal structure using powder X-ray diffraction data or electronic diffraction data would be a plus.  Knowledge in advanced structural characterizations will be valued. Excellent communication skills (oral and written) in English. Good publication track record in peer-reviewed journals. Ability to work independently and as part of a multidisciplinary and multicultural team. Excellent networking ability and organizational skills. Experience in co-supervision and coordination of master students. Candidature Submission: Applicants should submit: Cover letter outlining research experience, achievements and stating research interests. Curriculum Vitae. List of publications. Name and contact information of three referees who are not current UM6P faculty. Recommendation letter.

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.

Location: University Mohammed VI Polytechnic, College of Computing, Bioinformatics Laboratory, Ben Guerir, Morocco. Duration: 2 years About the Lab/Institution: The Bioinformatics Laboratory conducts research in the fields of bioinformatics, computational biology and computational chemistry and serves the agricultural, environmental and health sectors. The lab also provides bioinformatics consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in Africa. The laboratory aims to leverage these resources to address bioinformatics needs internally and at the African level and to develop innovative research and training programs. For more information about the laboratory, you can visit https://bioinformatics.um6p.ma/ Project Description: We are seeking a highly motivated and talented postdoctoral researcher to join our team to develop a novel GPT-like system for bacterial genomes using cutting-edge genomic language models. This project aims to adapt and extend transformer-based architectures to create a powerful tool for understanding and predicting bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models, applying them to diverse bacterial use cases, and contributing to the development of software tools for the broader research community. Responsibilities: Develop and implement transformer-based genomic language models for bacterial genome analysis. Train and evaluate models on large-scale bacterial genomic datasets. Apply the developed models to address specific research questions, such as gene function prediction, antibiotic resistance analysis, and evolutionary studies. Analyze and interpret results, and prepare manuscripts for publication in peer-reviewed journals. Collaborate with other researchers within the lab and external collaborators. Maintain accurate and organized records of research activities. Qualifications: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Strong background in machine learning, particularly deep learning and natural language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools and genomic data analysis. Strong programming and data analysis skills. Excellent communication and writing skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience working with bacterial genomic data. Knowledge of bacterial genetics and evolution. Experience developing software tools for bioinformatics applications. Experience with cloud computing platforms. To Apply: Please submit the following materials Cover letter outlining your research interests and experience. Curriculum vitae (CV) including a list of publications. A brief research statement describing your past research and future interests. Contact information for three professional references.