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Postdocs in Generative Machine Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures
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, communication algorithms) Parallel programming models and runtimes for emerging architectures (e.g., processing-in-memory, SRAM-centric) Performance modelling & optimisation of ML algorithms on unconventional
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knowledge in the field of ecosystem dynamics and computational oceanography, through the development or application of theoretical, numerical, or modelling approaches for the study of physical and
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on advanced (nano)materials—particularly single‑atom materials (SAMs) on carbon platforms—and their interactions with relevant cellular models in nanomedicine and nanotoxicology. You will join an international
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well as in the system integration. The strategic mission of the FBK-SD is scientific excellence combined with the ability to exploit research results. The innovation model is open to collaboration in national