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Field
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, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Hong Kong Application Deadline 30 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job
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interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering
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the field of social or health sciences, bio/statistics, epidemiology or demography. Relevant experience in mathematical demography, statistics or other discipline with strong quantitative components
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/or mathematical programming tools) applied to modelling agricultural and food policies and markets. Good knowledge of microeconomic theory and agricultural and food policies. Experience in using
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technologists to push strategies into production What we're looking for PhDs graduating by Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer
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Staff - Non Union Job Category Non Union Technicians and Research Assistants Job Profile Non Union Salaried - Research Assistant /Technician 3 Job Title Research Assistant, MAIN Lab Department Research Support | McKendry Academic Group | Food, Nutrition and Health Program | Faculty of Land and...
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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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Artificial Intelligence (applied mathematics, computer science, etc.), or a thesis defense scheduled for 2025. • Research contributions in deep learning, statistical learning, natural language processing (NLP