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to): Blockchain Cryptocurrency Non-Fungible Tokens Key duties: The Postdoctoral researcher will be expected to: Publish in high impact journals in the field. Participate to the supervision of PhD students and
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of the candidate: PhD in atmospheric sciences or a closely related field The candidate should have experience in climate model development and assessements A strong programming background and use of HPC are required
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dynamic models. Model complex interactions between physical systems (infrastructure) and digital systems (software, platforms). Develop decision-support tools based on simulations for public and private
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highly skilled Postdoctoral Research Fellow with a background in Natural Products Chemistry. Candidates should hold a PhD in Natural products chemistry, Phytochemistry, Cell biology, Pharmacognosy
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modules to farmer’s, cooperatives, extension agents, etc. Data scheduling, collection, analysis, interpretation, and presentation. Supervise Postdoc, PhD and Master students as well as interns Project
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of Radionuclides and Heavy Metals: Develop and implement nuclear analysis methods to characterize phosphate ores and their by-products. Monitor and control the migration of radionuclides and heavy metals throughout
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trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits (e.g., using USIMPAC or similar software). Analyze, interpret, and report the outcomes of simulations and
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and application 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
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, Fisher-Tropsh, etc. CO2 capture methods CO2 utilization & conversion to high-value chemicals (e.g., electro/photo chemical CO2 reduction, catalytic chemical conversion, biological, etc.) CO2 mineralization
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs