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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
Area of research: Scientific / postdoctoral posts Starting date: 01.02.2026 Job description: Postdoc (f/m/d) on Generative AI for de Novo Protein Design With cutting-edge research in the fields
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members. The DKFZ is a place where the brightest minds pursue bold ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We
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workplace is truly meaningful.“ Get to know us Benefits Career Development: Postdoc program, scientific training & career center with tailored offers Scientific Resources: State-of-the-art infrastruture and
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of research range from strongly correlated Fermions and Bosons in and out of equilibrium, gauge theories, spintronics, frustrated systems and topological/fractionalized phases of matter, via computational many
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members. The DKFZ is a place where the brightest minds pursue bold ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We
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members. The DKFZ is a place where the brightest minds pursue bold ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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, microbiology, or computational science. Further information about available projects can be obtained by email to Prof. Franziska Faber (franziska.faber@uni-wuerzburg.de ) and Prof. Jörg Vogel (joerg.vogel@uni