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, unbiased decisions, and ensuring resources are distributed to those most in need. Additionally, when combined with modeling experiments or enhanced research in parameterization, AI is accelerating
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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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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
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combined with modeling experiments or enhanced research in parameterization, AI is accelerating computational processes, improving prediction accuracy, and enabling the creation of extensive model ensembles
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possible. Support if required, the development of proposals for research funding. PROFILE : PhD in materials science, chemistry, or related field. Solid background in phosphate chemistry, fertilizer
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systems that fuse multi-modal remote sensing, soil and phenology data to enable crop classification and precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded
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) at Mohammed VI Polytechnic University (UM6P) in Laayoune is seeking applications for a Postdoctoral Researcher in the field of Fungal Biotechnology and Biomass Valorization. Candidates should hold a PhD in
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in materials, corrosion, and their related topics. The position is intended for a confirmed professor (M/F), with at least 5 years research experience after a PhD in materials, electrochemistry, and
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for a confirmed professor (M/F), with at least 5 years research experience after a PhD in materials, electrochemistry, and Corrosion Science. He/she is keen on multidisciplinary work at the interface
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precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded or defended before start) in Computer Science, Remote-Sensing/Geoinformatics, Agricultural Data Science, or