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of the position: The successful candidates will contribute to an interdisciplinary research program focused on understanding the sources, mobility, and bioavailability of cadmium (Cd), chromium (Cr), and arsenic
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concepts and profitability. In-depth knowledge of environmental sustainability standards. Experience with data prediction and classification techniques. Computer Skills Good proficiency with optimization
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Researcher (R3) Application Deadline 22 Jan 2027 - 00:00 (UTC) Country Morocco Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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molecules in chemistry, pharmaceuticals, and agrochemicals. The position provides a unique opportunity to work at the forefront of computational chemistry and AI, contributing to high-impact research with
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: Participate in teaching activities related to UM6P's MSc program in bioprocess and microbial biotechnology, sharing your expertise with the next generation of researchers. Collaborative Research: Develop and
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; rather, the fellow should demonstrate a willingness to learn new tools and to think critically about how computational methods and philological inquiry inform one another. In addition to their primary
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
) invites applications for a Postdoctoral Researcher to join an interdisciplinary research program dedicated to the development of bioinspired, circular-economy-driven materials for water retention, soil
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About the recruiter — UM6P Mohammed VI Polytechnic University (UM6P) is a research-and-innovation focused university in Morocco committed to African development. UM6P’s College of Computing
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, and Sustainable Process Engineering. The researcher will join a multidisciplinary research program aimed at optimizing natural graphite for Li-ion battery applications, developing sustainable
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of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine