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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and supported by extensive national and
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degree in electrical engineering, computer engineering, computational science, or related fields Your research and development work requires knowledge of hardware-related programming and in-depth knowledge
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(preferably time series) Programming skills in Python Fluent in German or English The local proximity is very important to us, as regular attendance at in-person meetings is required What we offer Participation
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opportunity to learn the process and challenges of drug discovery from the inside, including additional training and mentoring program. In addition, benefit from the rich packages for employee benefit. Our most
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Remuneration according to TV-L incl. occupational pension plan and capital-forming payments 30 days of vacation per year Flexible working hours Possibility of part-time work Family-friendly working environment
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of measurement and control technology or programming skills, preferable in python First experience with modern methods of material characterization High motivation, initiative, creativity, and ability to work in a
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many-body physics and space-time; quantum programming languages and formal methods; mathematical and computer science foundations and connections. Please see here for more information about the positions
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 14 days ago
3D vision topics such as 3D mesh models, statistical shape modeling and articulated pose estimation Solid ML/AI foundation Strong programming skills in Python (CUDA is a plus) Hands-on experience with
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development Interesting, varied and challenging tasks and family-friendly working conditions Company pension plan (VBL) Company health promotion and the opportunity to participate in company fitness with EGYM