84 parallel-and-distributed-computing-"Multiple" Postdoctoral positions at University of Washington in United States
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under supervision, with the goal of establishing an independent research program and career path. The postdoc will be based at the University of Washington – Seattle Campus. The preferred start date is
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Aging Training Program (https://live-uwhalo.pantheonsite.io/uwhalo/bmha/post-doctoral-openings/ ). The position is 100% FTE for 12 months. Benefits such as medical, dental, and retirement are also
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or international conferences, computing equipment, and fees associated with manuscript publications, if applicable. A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits/wp
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Position Summary A postdoctoral position is open immediately in the laboratory of Dr. Li Ding at WashU School of Medicine in St. Louis, MO. We are looking for a highly motivated computational
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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 methods to advanced imaging techniques
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. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including CRISPR, cloning and qPCR. In vitro cell
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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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of GI diseases to continue our work in functionally characterizing the impact of immune cells including ILCs in IBD. Our research program provides a highly collaborative and supportive training
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, standing, walking. Working on a computer. Ability to move to on and off-campus locations. Equipment Lab and office equipment. Salary Range: Base pay is commensurate with experience. The above statements are
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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