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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring technologies that enable robotic
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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Research Scientist Applications are invited for a Research Scientist to join the Laboratory of Dr Evelien Adriaenssens in the Microbes and Food Safety programme at Quadram Institute Bioscience (QIB
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We strive to understand the central nervous system at multiple levels of function, from cells to cognition to social interactions. Our approaches range from molecular, cellular and experimental
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, H., Calmettes, E., Osprey, M., Zhang, Z. et al. (2013) Short-and long-term temporal changes in soil concentrations of selected endocrine disrupting compounds (EDCs) following single or multiple
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team. Work towards achieving the Objectives will run in parallel through the project, broadly along the following timeline: Year 1: literature review, desk-based mapping, initial fieldwork mapping and