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include Boltzmann Generators [1 ,2 ], Surrogate-model Assisted Molecular Dynamics [3 ], and Implicit Transfer Operators [4 ,5 ]. The Postdoc will lead both the conceptual development in close collaboration
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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the research project We are seeking a highly motivated Postdoc to join our group in developing generative surrogate models for molecular dynamics (MD). MD is a foundational technology across the
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, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and molecular biology, but
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in written and oral English. Experience in DFT-based molecular dynamics simulations and free energy calculation (e.g., metadynamics and free energy perturbation) in condensed phase systems. Programming
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immunostaining of cells and tissues, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and
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investigating the cellular and molecular mechanisms that form and regulate tertiary lymphoid structures in inflammatory diseases and cancer. The successful candidate will join a growing collaborative research
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, revealing how immune niches form, evolve, and malfunction across human organs and diseases. This includes investigating the cellular and molecular mechanisms that form and regulate tertiary lymphoid
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the Data-driven Life Science Fellows program. The group, led by Wei Ouyang, focuses on building AI systems for data-driven cell and molecular biology. We are seeking a postdoctoral researcher in cell biology