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Field
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, NY. Postdoc position responsibilities will include: • Conduct epidemiological and statistical analyses of large complex datasets • Develop final publishable-quality tables and figures for inclusion in
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, joint UD-Penn NSF HAIC postdocs may be housed in the General Robotics, Automation, Sensing, and Perception (GRASP) Lab (https://grasp.upenn.edu) and the Wharton School (https://wharton.upenn.edu
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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& talented Postdoctoral Research Associates (PDRAs/PostDocs), who have demonstrated competence in conducting cutting-edge research. The position is fully funded in the context of Dr. Francesco Belardinelli’s
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Engineering and production optimization Documented mathematical, analytical and problem-solving skills. Good knowledge of statistics, AI/ML, and mathematical modeling and programming. Good knowledge in academic
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or equivalent in informatics/computer science, mathematics, statistics, or a closely related field. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational
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the approval from the Rector of the University of Warsaw, announces opening of the position of Postdoc (Assistant professor) in the group of researchers in the Laboratory of Structural and Functional Genomics
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21 Aug 2026 Job Information Organisation/Company Poznan University of Physical Education, POLAND Research Field Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
sciences » Veterinary medicineEducation LevelPhD or equivalent Specific Requirements PhD in statistics, mathematics, biology, medicine or veterinary medicine Substantial statistical experience within
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or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be