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) Experience with modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) Background in at least one of the following: graph learning, scientific computing, surrogate modeling, or ML theory Interest in
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Student or Postdoc (f/m/x) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible projects are variational free energy methods
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within this project include: Extending DeepRVAT towards non-coding genetic variation Applying DeepRVAT to population-scale single-cell readouts Integrating population data with experimental perturbation
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alters immune responses against vaccines using next-generation human tissue and organoid models. Current vaccines against infectious diseases and cancer benefit only a subset of patients, partly due to our
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information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both
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, exacerbated by external stimuli such as UV radiation and mechanical stress. Current understanding and therapeutic strategies are limited due to inadequate human model systems capable of replicating
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at the Department of Electrical and Computer Engineering, as well as Ethiopian researchers specializing in Geophysics and Nature-based solutions. The candidate must be willing to participate in field work in Ethiopia
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://jobs.fsu.edu . If you are a current FSU employee, apply via myFSU > Self Service. Applicants are required to complete the online application with all applicable information. Applications must include all work
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have a PhD degree in Electrical and Electronic Engineering or other related fields.To be considered, the candidates are expected to have strong experience/knowledge/capability in the following
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine