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immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore
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complete) an M.Sc. (or equivalent) in Computer Science or a related discipline ML expertise: You have strong programming and deep learning experience (e.g., PyTorch, TensorFlow), backed by a substantial
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knowledge of quantitative methods, particularly in statistics and econometrics; experience in machine learning is a plus Background in business/management/behavioral science Experience with programming
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. Proficiency in MS Office programs, particularly Word and Excel; additional knowledge of Origin and MATLAB is preferred. English communication skills, both oral and written is required. Additional scientific
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Researcher (R1) Country Sweden Application Deadline 4 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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-year PhD program Title: “Surface modification of the intercalation electrode materials” The language of the thesis can be either English or Polish. The PhD project will focus on the synthesis, surface
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number MAR-02111-FEAMPA-1003 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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) Country Belgium Application Deadline 21 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme
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strong focus on empirical research, conducted in close collaboration with software development practice. SERG is known for its research on software testing, program analysis, mining software repositories
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or a related field. - You have excellent oral and written communication skills in English. - You have the ability to work in a research group. - Experience in the field of immunology or nephrology is an