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Field
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. Work with NSLS-II automation team and engineering support staff to develop the next generation of robotics and sample preparation protocols for XCFS. Optimize crystallization systems for XCFS campaigns
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Apply now Job no:527504 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: Computer Science Union: Post Doc Categories:Postdoctoral Research Associate, Research, Manning College
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, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical
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postdoctoral fellow with interest in organic chemistry and radiopharmaceutical development. Successful candidates will join the Molecular Imaging Program at Stanford within the Department of Radiology, Stanford
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-of-use water filter during use. Methods are expected to use LC-MS/MS and GC-MS workflow. These methods would be applied for laboratory testing and in a pilot testing program. Job Description Primary Duties
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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modeling. 80% research - The project focuses on developing theoretical models using optimization and information theory to improve understanding of plant hydraulic regulation at the leaf, plant, and
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detailed and accurate records. Ensure compliance with environmental, safety, health and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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to environmental stimuli. This involves protein movement and dynamic protein-protein interaction to maintain optimal photosynthesis, stress responses, and other metabolic processe Key Responsibilities 1) Perform