219 phd-scholarship-in-computational-material-science Postdoctoral research jobs in Germany
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 days ago
Your profile # Completed PhD in chemistry, geology, physics or related areas # Experience in sample preparation of cosmogenic radionuclides for accelerator mass spectrometry # Proven knowledge in
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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Postdoctoral Researcher (Physicist, Chemist or Material Scientist( (all genders) for a Tenure Tra...
the daily work of the target laboratory. Your Qualification: PhD in experimental physics, chemistry or material science Several years of experience of independent work in a physical or chemistry laboratory
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PhD Student / Postdoctoral Researcher (gn*) Molecular Biology Reference Number: 10836 Fixed term of 3 years | Full- or Part-Time (65% or 100%) | Salary Grade TV-L E13 | Centre of Reproductive
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, Oxford, London, and Cardiff (regular cross-site meetings and joint outputs). Requirements PhD in Psychology, Mathematics, Computer Science, Neuroscience, Physics, or a related field. Strong skills in
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basic research. At 84 Max Planck Institutes, more than 26,000 employees conduct basic research in a wide range of fields in the life and natural sciences, as well as in the humanities, social sciences
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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interdisciplinary field that tackles fundamental questions across all domains of population research by combining the methods and perspectives of computational sciences, social and behavioral sciences, and statistics