95 computer-science-intern-"https:"-"https:"-"Fraunhofer-Gesellschaft" Postdoctoral positions in Morocco
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R&D in Applied Chemistry and Engineering attracting highly talented researchers under transparent governance. ACER CoE encourages excellence in research and inter-program synergy and is instrumental
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and collaboration with external institutions, both international ones for developing up to date science, and at continent level to address real African challenges. UM6P offers highly competitive
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, and publication of research outcomes in peer-reviewed journals. Candidate Profile: Ph.D. in Mechanical Engineering, Chemical Engineering, Computational Fluid Dynamics, or Applied Physics. Strong
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, polymers and composites, and sustainable materials. With over 70 researchers and PhD students, and strong national and international collaborations, MSN is a growing force in materials research. Job
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Chemistry and Engineering attracting highly talented researchers under transparent governance. ACER CoE encourages excellence in research and inter-program synergy and is instrumental in updating the research
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of the College is to set up an unprecedented research-education program, of international level, to address the UM6P challenges in terms of research and education, covering all aspects of computer science
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). Excellent command of IT tools and perfect command of AI and Data Science tools. Profile required: PhD in computer science, specializing in AI and Data Science. Taste for working in a collaborative environment
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We are in search of a highly qualified researcher for one postdoctoral research opening in our team. Please see the information below: Postdoctoral Fellowship in Organic Chemistry Duration: 12
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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COLCOM: The School of Computer Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks