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Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection.
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the Department Molecular Metabolism and Precision Nutrition E-Mail: olga.ramich(at)dife.de We process your application documents for the purpose of carrying out the application procedure in accordance with Art. 6
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materials, new processes and optimised components. Our work is interdisciplinary, international and practical. The scientific questions in our institute range from the production of materials, such as powder
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review process and mentoring students. Your tasks Culture and manipulate stem cell-derived organoids to model human developmental disorders. Manipulate zebrafish embryo development through genome
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hardware interfacing programming in Python Team-oriented and highly motivated to work in an experimental laboratory A background in quantum computing as well as experience with cryogenics, signal delivery
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of porphyrins in conjunction with novel linker structures to affect a transformational advance in the molecular design and control of interfacial nanoconstructs with tunable electronic, photonic, biomedical, and
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efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation
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protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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projects in basic biomedical research and who wish to learn methods relevant to their current research. To this end, the grant finances the participation in practical training courses or short-term research