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hold a doctoral degree in biology or biomedical sciences. A combination of skills in cell culture, animal disease models, imaging, western blot, immunoprecipitation, ELISA, DNA/RNA preparation, PCR, and
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rolling basis. Description The Department of Energy (DOE) Science, Technology, and Policy (STP) Program provides an opportunity for students, postgraduates, and faculty to engage in programs, projects, and
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 10 hours ago
, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students, postgraduates, and faculty to participate in programs, projects, and activities at the Department. Fellows will
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. The institute houses a dozen faculty, numerous research staff, and a robust graduate program. Located 30 miles from the main Grand Valley State University campus, AWRI maintains state-of-the-art analytical and
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Postdoctoral Research Associate, Department of Basic Medical Sciences(College of Medicine - Phoenix)
are especially encouraged to apply. Extensive experience with animal models is required. Experience with iPSC-derived organoids, flow cytometry (FACS), and primary liver cell isolation is desirable but not
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create solutions that connect materials to mobility, ideas to impact – shaping a resilient and sustainable world. We make impact. At the Division of Vehicle Engineering and Autonomous System s, our
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/Resume. Required Education and Experience Appropriate PhD, MD, or DVM in a related field. Preferred Qualifications Experience in one or more of the following (i) whole cell patch clamp electrophysiology
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applications, and will apply for personal grant funding. Among the key duties of this position are the following: Under the direction of the Principal Investigator, will perform whole-cell patch clamp
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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research at the intersection of AI/deep learning, bioinformatics, mathematical modeling, computational topology, scientific machine learning, for systems biology, single-cell genomics and protein design. The