202 natural-language-processing "INSAIT The Institute for Computer Science" Postdoctoral positions in Morocco
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-on experience in optimizing extraction processes and characterizing bioactive ingredients from various biomass. Demonstrated competence in purification/isolation and structure elucidation of pure natural products
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field. Strong background in machine learning, particularly deep learning and natural language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency
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Areas of research Thermal processing of minerals pyrometallurgy Job Description The Geology and Sustainable Mining Institute (GSMI) at Mohammed VI Polytechnic University (UM6P) is seeking
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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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of process modeling software (e.g., Aspen Plus, COMSOL, or equivalent) is a plus. Excellent written and oral communication skills in English. Ability to work independently and as part of a multidisciplinary
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. About ACER CoE: The centre has been recently created to address enduring process challenges in Chemistry and Engineering
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oral communication skills. 1. Context and objectives Process mineralogy is a discipline that has recently been used for diagnosing and improving ore processing flowsheets such as flotation. It is well
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researcher to join our research team on nature-based solutions (NBS). The successful candidate will work on interdisciplinary projects aimed at promoting the integration of NBS in environmental management and
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, Cosmetology, Natural Products Chemistry, and Cell biology or related field. Requirement Hands-on experience in optimizing extraction processes and characterizing bioactive ingredients from various biomass