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knock-in mouse models and contribute to the design and development of novel therapeutic strategies. The laboratory is equipped with excellent facilities and state-of-the-art equipment to perform basic
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, while contributing to development efforts from algorithm design and testing, synthetic data generation, user interfaces, and model deployment. Initial appointments will be for one year with
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or her research program in public policy, preferably with applications to the public policy dimensions of the energy transition, climate change, or circular economy. The postdoctoral fellow will also
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samples and • Apply geochemical modelling techniques to the processing and interpretation of existing isotopic data. • Lead in the development and submission of high-quality research manuscripts and develop
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qualified candidates to apply for a postdoctoral research position. The research will focus on statistical modeling, machine learning and trustworthy AI to develop effective and efficient algorithms
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, forest management, seismic hazard modeling, and landscape evolution in seismically active regions. To apply, candidates should send a copy of their latest CV, a brief summary of their research background
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design of hyperstable miniprotein binders using advanced computational platforms. The work integrates protein modeling, in silico affinity optimization, and mechanistic studies aimed at modulating key
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experience working with orthotopic cancer models in mice (e.g., lung, neuroblastoma, pancreatic). Experience with animal surgery is a plus. A strong foundation in immunology is essential, with demonstrated
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algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
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encryption and zero-knowledge proofs to protect personal data. • Create solutions for real-time detection of model tampering, including mechanisms for identifying and preventing personal data exposure