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AI-assisted proof engineering. The position is part of an ARIA-funded collaboration between EPFL and Imperial College London whose goal is to build a formally-verified ML inference engine
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infection models to identify and characterize compounds active against these priority pathogens. Main duties and responsibilities Design and build a microscopy-based phenotypic screening pipeline (live
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. This allows us to shift from the standard imaging question of "what is the structure of this sample?" to "how does the structure differ from the known design?". The second question can be answered with far
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imaging of dynamic processes, while the companion position focuses on high-throughput imaging of static structural defects . Each postdoc will lead their own independent research direction, with
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imaging of dynamic processes, while the companion position focuses on high-throughput imaging of static structural defects. Each postdoc will lead their own independent research direction, with
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engages CSPG4, increases membrane tension, and activates the mechanosensitive ion channel PIEZO1, thereby promoting glioma proliferation. The successful candidate will build on this work to define
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participants make effort-based decisions and perform calibrated actions while physiological and movement data are continuously recorded. Participants will complete immersive behavioral tasks designed to measure