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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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. Contribute to scientific publications and disseminate results to decision-makers and communities. Qualifications required PhD in one of the following fields: electronics and embedded systems
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attracted multidisciplinary research teams composed of food engineers, agronomists, biochemists, biologists, … etc. Description of the position: Strong expertise in advanced formulation science (Biotech
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mentor MSc and PhD students involved in related research activities, providing guidance in experimental design, data analysis, and manuscript preparation. Contribute to grant writing, proposal development
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publish in leading international journals. Desired skills and experiences: PhD in crop physiology, microbiology, plant molecular physiology, or related fields. Strong knowledge about plant-soil-microbes
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Environmental Science (CAES) is a component of the Science & Technology pole of Mohammed VI Polytechnic University (UM6P). It constitutes a structure of higher education and practical-based research with a vision
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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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prior to their implementation. The candidates must hold a PhD in Metallurgy, electrochemistry, mechanical engineering or related domain. They must exhibit hands-on experience with electrochemical
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& Application Materials Engineering degree (Bac+5) or equivalent in Aerospace, Mechanical, or Mechatronics Engineering. Background in CAD/CAE, structural design, or composite materials. Practical experience in
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of the Research Assistant Candidate & Application Materials: Engineering degree or equivalent in Computer Science, Robotics, or Electrical Engineering. Solid knowledge of AI/ML, embedded systems, and IoT