31 python-"Multiple"-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Germany
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! The Clinic focuses on inflammatory diseases of the central nervous system, especially multiple sclerosis. As part of the Department of Neurology, we study the pathogenesis and treatment of this and other
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Planck Society. The Campus Martinsried hosts multiple academic institutions and numerous biotech companies. Munich stands out as one of Europe's premier hubs for life scientists, offering an exceptional
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language (R, Python, Matlab, ...) experience with the use of a geoinformation software ability to work in a team, very good communication skills, independent working style and organizational skills very good
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. This requires proficiency in Python and familiarity with modern ML libraries. Scope: Identifying and formalizing evaluation properties for concept-based XAI methods Adapting an existing benchmark suite
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: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
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(Soziale Robotik, Eyetracking) Sie bringen mit: Abgeschlossenes Studium (B.Sc.) in Informatik, Computerlinguistik, Data Science, Kognitionswissenschaft oder ähnlich Programmierkenntnisse, insbesondere Python
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to study biological questions in multiple areas, including proteostasis/autophagy, targeted protein degradation (PROTACs), inflammation, cancer, infection and ageing. We have developed a range of proteomics
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programming background with expierence in using Python, matlab, and/or Java, etc. a good command of German and English, both for teaching and for the preparation of research proposals and publications process
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complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures
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. What you will do Literature research Integrate and analyze data from multiple sensors to build a unified system Develop methods to combine and interpret diverse sensor outputs for meaningful insights