52 computer-programmer-"https:" "https:" "https:" "https:" Postdoctoral positions in Switzerland
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to outstanding candidates from diverse scientific and medical backgrounds, including Biology, Medicine, Physics, Computer Science, and Engineering, who wish to pursue their research within one of our
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students; contribute to lab meetings and methods workshops Your profile PhD in psychology, computational social science, data science, cognitive science, statistics, computer science, or a related
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) in Business Administration, Computer Science, Data science, Artificial Intelligence, Business Informatics, or a related field, with excellent academic results Strong interest in research at the
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institutional regulations. Project background Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet
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advanced computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive
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, computer engineering, computer science, mathematical engineering, or similar. Proven track record in the Machine Learning, Artificial Intelligence, or Robotics, reflected through contributions to major
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Information Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment
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Computational Biology, Bioinformatics, Computer Science, Mathematics, Biomedical Sciences, or a closely related field Experience with single-cell and/or spatial omics technologies Strong background in
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verified formally. You will publish and present your work internationally. You are the ideal candidate if You hold a PhD in mathematics, computer science or a related field You have a strong background in
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physics, engineering, computer science, or a related field. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D