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Field
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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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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 21 days ago
: Salary and social benefits according to the German public service pay scale (TVöD Bund), commensurate with qualification and experience, up to EG 9A. Attractive pension plan via VBL (Federal and State
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven
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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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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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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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and Python programming skills are an advantage. Passionate about science communication and cultivating collaborative relationships with industry professionals. Excellent written and spoken English. A
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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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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 be hosted
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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