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Field
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. The ideal candidate will have a strong interest in translational biomedical engineering and a desire to develop their own independent research program in this area. Experience in areas such as in vivo
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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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research program focuses on developing innovative cell-based therapies and model systems for CNS diseases, including Alzheimer's disease, Parkinson's disease, multiple sclerosis, and brain cancers. We
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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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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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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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, establish advanced manufacturing routes for these polymers and implement computational algorithms to assist their optimization. The RISE Polymer Lab is dedicated to developing the next generation of robust
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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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-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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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