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healthy resting conditions. The researcher will use a combination of synovial tissue organoid systems and transgenic mouse models to delineate the role of the proteoglycan-4 (the gene that encodes lubricin
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diverse classes of inhibitory neurons are specified and integrated into brain circuits during development. Our work bridges developmental neurobiology, disease modeling, and systems neuroscience. To do
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areas within Energy, Climate and Environment and Regional Growth, and integrates the researchers from the Electrical Power Systems (EPS) research group (RG) and Applied Modeling and Control (AMOC) RG
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models, and clinical cohorts to uncover mechanisms by which early-life gut microbial metabolism shapes host immunity. We welcome applicants with backgrounds in computational biology, molecular microbiology
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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic
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Hospital are seeking a highly motivated postdoctoral fellow with a passion for computational biology and genomics. The postdoc candidate will be jointly mentored by Drs. Khoshkhoo and Huang. The position
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with undergraduates, graduate students, postdocs, and professors in the two labs. Candidates with geoanalytical experience, including backgrounds in either cosmogenic nuclide geochemistry or XRF
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of plasma, electric propulsion, combustion, and the atmosphere. For more information, you can visit the Department of Mechanical Engineering’s website at www.engr.colostate.edu/me/ Position Summary The Center
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distribution systems, EV charging modeling, distributed energy resources, optimization, control, machine learning, hardware-in-the-loop simulation. Expertise in programming languages such as Python, C