111 data-"https:"-"https:"-"https:"-"https:"-"Georgetown-University" Postdoctoral positions in Germany
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f
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tasks: Designing and perform experimental studies using animal models and human cells Planning and conducting animal experiments Analyzing, document and presenting experimental data and results Actively
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: 11.01.2026 For further information, please contact Prof. Dr. Till Strowig, phone 0531 6181 4700, email: till.strowig@helmholtz-hzi.de . How to apply: When sending us your application documents, please confirm
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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scientific results at conferences and in peer-reviewed journals Requirements Excellent doctoral degree in neuroscience or biophysics Experience in molecular biology, biochemistry, and electrophysiology; data
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Your profile: Strong background in molecular and cellular biology techniques Experience with experimental design, data analysis, and scientific writing We offer you: EGYM well pass, corporate benefits
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recruiting is decentralized - your application will be reviewed directly by the specialist department in which you could work in the future. More information about our application process Please send your
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working style, initiative Independent and responsible working approach, self-motivation Strong communication and information skills, including scientific publications in peer-reviewed journals and
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data synthesis. Their work will determine how urban features drive species diversity, how species diversity and urban features are represented in soundscapes and how these relate to human health and
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning