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and plasma cell differentiation. The goal of this project is to test hypotheses about how peripherally circulating B cells can develop into CNS-resident, antibody-secreting cells, to study how
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about Department of Mathematics can be found on our website. Questions regarding the position should be directed to Prof. Dr. Mikaela Iacobelli, email [[email protected]] (no applications
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, demonstrating that AI can help make verified systems competitive with unverified systems in terms of development effort, features, and performance. Main duties and responsibilities Conducting research related
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the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
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the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
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to develop foundation models that can learn from heterogeneous tabular data across buildings and district-scale energy systems and transfer across systems, operating conditions, and downstream tasks
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with recent AI tools, are changing how mathematics is done. We are opening a postdoctoral position to explore what formal verification and algorithm discovery can bring to numerical analysis. There is no fixed
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researcher. The project aims to develop foundation models that can learn from heterogeneous tabular data across buildings and district-scale energy systems and transfer across systems, operating conditions
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processing strategies that can enable the fabrication of a wide variety of advanced functional materials and devices. We are seeking a candidate with experience either in a) the development of (macro)monomers
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opportunities for technology transfer and innovation Competitive salary and excellent working conditions - more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en