11 machine-learning-phd-in-netherland Postdoctoral positions at Mohammed VI Polytechnic University
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. - Proven expertise in research and development in the following areas of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs
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. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop
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. Experience with modeling software and climate data analysis. Strong quantitative skills, including knowledge of statistical and machine learning methods. Proven ability to conduct independent and collaborative
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Spectrometer) that enable advanced plant measurements, that allow us to assess plant’s water budget in response to abiotic stress and nutrients’ application. An indoor system with (i) the phenotyping machines
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and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and international partners, MSN is emerging as a strong actor in the Moroccan materials
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. Support if required, the development of proposals for research funding. Candidate PROFILE : PhD in Organic Chemistry, Polymer Science, Materials Science, or related subject. Expertise in electrochemistry
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. Publish research findings in reputable journals and present at scientific conferences. Requirements: PhD in Chemical Engineering, Materials Science, or a related discipline. Extensive knowledge
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for candidates holding a PhD relating to crop protection, complete in the past five years. Experience in formulation technology and chemical characterization techniques, as well as a strong publication
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vitro and in vivo studies. Qualifications: PhD in Chemistry (organic chemistry, radical chemistry, photochemistry, catalysis), Chemical Engineering, Materials Science or related fields . Proven experience
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greenhouse-emitted gases. Implement controlled and field experiments to measure GHG and trade-offs for nutrient efficiency. Mentor master students and PhDs Education, qualifications, and experience Applicants