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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. The work will combine fundamental modelling, numerical simulation and experimental validation, with a strong
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the forefront of emerging questions around stability, interoperability and control of large-scale power electronic infrastructures. Outstanding candidates will find an environment that combines scientific freedom
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capabilities, transforming them from advanced experimental concepts into robust, reliable and broadly accessible measurement workflows for imec researchers, engineers and partners. Your work will combine hands
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, and healthcare AI. You will contribute to the management of the research group and to the further development of the research agenda around the ERC Consolidator Grant IONIAN (https://erc
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of the research group and to the further development of the research agenda around the ERC Consolidator Grant IONIAN (https://erc-ionian.github.io ) and national projects. You will act as a senior right hand to
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an asset. You have the ability to design experiments, analyze and interpret complex datasets and draw clear conclusions. The candidate must be able to combine creative problem solving with rigorous
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
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staff and students. YOUR TASKS This 35% position combines teaching with research activities in the fields of comics studies, with a strong focus on South East Asian comics, especially Hong Kong comics