Ecole Superieure Le Faucon

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)

Job description: We are seeking a highly motivated and skilled postdoctoral researcher to join our dynamic team in the Sustainable Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials. Conduct thorough experimental testing of developed materials. Collaborate with interdisciplinary teams, including organic and inorganic chemists, and data scientists. Maintain detailed records of experimental and computational procedures, results, and observations. Prepare technical reports, research papers, and presentations for conferences and scientific publications. Contribute to the generation of new research ideas, participate in grant writing activities, and seek external funding opportunities to support ongoing research projects. Contribute on the group’s activities in processing of sustainable materials, (bio)polymer composites and their applications. Participate in the supervision of undergraduate, master’s, and doctoral students. Criteria of the candidate To be considered for this role, you will ideally have: PhD in Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable materials and materials science. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong written and verbal communication skills for effective dissemination of research results. Exceptional organizational abilities to manage multiple tasks and projects efficiently. Strong commitment to high-quality research and ethical standards. Application and Selection Application folder must contain: Detailed CV. Motivation letter, emphasizing your specific interest and motivation Brief research statement. Contact information of 2 referees. 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 Sustainable Materials Research Center (SusMat - RC) The Sustainable Materials Research Center (SusMat - RC) is a multidisciplinary research center engaged in the development of advanced biobased products and materials thereof using biotechnological, physical and chemical conversion strategies and engineering processes (b) understanding and controlling their underlying specific functionalities and the structure-properties relationship acting over multiple length scales from the molecular, nano to the macro level and their cross-interactions and (c) utilizing the gathered knowledge and the invented materials to address key technological challenges in Morocco and African continent and assist the transition toward a green and circular economy.

Description The Division of Engineering at New York University Abu Dhabi (NYUAD) invites applications for an open-rank (Assistant, Associate, or Full), tenured, or tenure-track faculty position in the Computer Engineering program. We seek candidates with a research focus on the theoretical foundations and practical applications of advanced machine learning techniques. Emphasis will be given to theoretical approaches in machine learning for real-world applications, with a preferred focus on optimization, data-efficient machine learning, approximate inference, statistical machine learning, continual learning, distributed machine learning, and the security and privacy aspects of machine learning. These areas have applications in various fields, such as healthcare, finance, transportation, education, and entertainment. The successful candidate will have a strong record of research excellence, demonstrated through high-impact publications, and a clear potential to lead a successful research program. In addition to research, candidates should demonstrate excellent teaching skills or potential in the core and advanced subjects of the Computer Engineering program, including Operating Systems, Data Structures, Algorithms, Optimization, Machine Learning, Reinforcement Learning, Computer Vision, and Pattern Recognition, as well as contributing to curriculum development. About NYU Abu Dhabi https://nyuad.nyu.edu/en/  NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.  NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. Qualifications PhD in Computer Engineering, Computer Science, or related field.  Application Instructions To apply for this position, please submit the following items: Curriculum Vitae (CV) Cover Letter Teaching Statement Research Statement Recent teaching evaluations (if available) Names and email addresses of 3 references (each will be contacted to upload their reference via Interfolio). Senior candidates may delay having references sent until they know if they are finalists We will review applications on a rolling basis and continue until the position is filled. We anticipate that successful candidates will start their appointments and relocate to Abu Dhabi in the academic year 2026-2027. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. For questions about this position, please email nyuad.academicrecruitment@nyu.edu. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.