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of possible methodological components include self-supervised temporal representation learning for large volumes of unlabeled AE/electrochemical time-series data, switching state-space models that describe
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designed for students interested in pursuing a postdoctoral fellowship in immunology and/or data science. Students either currently in immunology, data science or interested in switching fields are equally
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targeting cancer as well as metabolic, neurodegenerative, autoimmune and infectious diseases. Leveraging innovative platforms such as novel biosensors, gene switches, genetic closed-loop circuits, and
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with measurement electronics for data acquisition, etc. Experience in the following areas is beneficial but not required: nonlinear optics (e.g. optical parametric amplifiers), electrical switching, high
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academic journals that are widely disseminated You are able to switch smoothly between research tasks and teaching activities You work flexibly and can switch between assignments without losing sight
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fluctuations in energy supply, cost and operational needs. Next-generation process flexibility goes far beyond the ability to switch production lines quickly; it requires the ability to embed realtime
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. Next-generation process flexibility goes far beyond the ability to switch production lines quickly; it requires the ability to embed realtime intelligence, reconfigurability, and energy-awareness
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numerous studies have been carried out in the stationary states, deciphering at short ns and sub-ns timescale the impact of light on the magnetic properties and conversely, how magnetic switching can
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. Next-generation process flexibility goes far beyond the ability to switch production lines quickly; it requires the ability to embed realtime intelligence, reconfigurability, and energy-awareness
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of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models. Develop multistate sequence design algorithm for rational design of RNA switches. Develop database