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. Position description The Environmental Markets Lab (emLab – https://emlab.ucsb.edu ) and Clean Energy Transformation Lab (CETlab – https://cetlab.es.ucsb.edu/ ) at the University of California Santa Barbara
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of workflows in Python to optimize throughput, reproducibility, and data management. The overarching goal is to create a standardized and scalable platform that accel-erates discovery in stem cell biology and
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Position Description Academic Job Description Department of Biological and Environmental Engineering Postdoctoral Associate – Biotechnology The College of Agriculture and Life Sciences (CALS) is a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize
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modification and engineering of model and non-model microorganisms, designing, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating
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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Vision is to use scientific discovery to ensure optimal health through individualized nutrition. Everyone who works at the NRI supports this hopeful vision. Working at the NRI means doing good
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https://www.ubjobs.buffalo.edu/postings/59721 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position Summary
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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biology, bioinformatics, mathematics, physics, engineering, computer science, or a related field. Computational background in areas such as AI/deep learning, multiscale modeling, optimization, topological