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biological data Develop clear data visualizations, reports, and written summaries to communicate results Collaborate closely with laboratory scientists to translate biological questions into computational
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partners and collaborators across Europe and the world. We support career development, continued education, life-long learning and provide excellent opportunities for professional growth. Situated
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work closely with the PI and interna-tional collaborators. Responsibilities include: • Conducting independent postdoctoral research on ethical, legal, and societal aspects of neuroAI and neural decoding
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
equal opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure
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Computational Biology to join our multidisciplinary team. The position is embedded into a newly funded Collaborative Research Center (CRC) on Neurovascular diseases (CRC 1744) and further supported by
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
to work in a collaborative multidisciplinary environment # Excellent programming skills in languages such as Python, C/C++ and CUDA # Familiarity with modern deep learning frameworks like Tensorflow 2.x.x
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learning format and its qualitative empirical evaluation. Conducting an independent research project within the thematic framework of the project. Collaboration in the interdisciplinary cross-university
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of Europe's most exciting research initiatives using worldwide unique imaging infrastructure. Collaborate with a dynamic, interdisciplinary team that combines science, sustainability, and technology to create a
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opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our
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training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and familiarity with machine learning