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experimental approaches including electrophysiology, data analysis, and computational approaches. Possible methods include ex vivo electrophysiology of human, primate, pig, and mouse retina, in vivo recordings
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. Specifically, we are looking for Postdoctoral scientists to perform microscopy-based neural recordings in behaving flies, computational analysis, and, if interested, neuromechanical simulations or robots driven
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improving the security of modern computer systems. To do that, we often build novel analysis techniques to uncover previously-unknown attack surfaces and when appropriate we design and implement new systems
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reuse and adaptation of building components. Key responsibilities will include: Analysis and synthesis of existing research on material value chains and building stock inventories to quantify
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environment for ceramic processing, electrochemical and photoelectrochemical characterization, optical spectroscopy, and structural analysis. A broad range of instrumentation is available, including UV–Vis
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, physiological and movement data, and advanced behavioral data analysis. The position is funded for three years. In line with standard EPFL procedures, the contract is issued on a one-year basis and renewable
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circuits, neuronal tracing, viral or genetic manipulation of neurons, in vivo models, imaging, or computational analysis of single-cell or spatial datasets. Candidates from neuroscience and neuro-immunology
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complex environments. Specifically, we are looking for Postdoctoral researchers to perform microscopy-based neural recordings in behaving flies, computational analysis, and, if interested, neuromechanical
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of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities
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of molecular mechanisms of disease development. Your tasks We are looking for a highly motivated candidate with genuine interest in biomedicine and a strong proficiency in data analysis. In this project, we