10 assistant-professor-computer-science-and-data-"Multiple" Fellowship positions in United States
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the 4Rs Project under the project’s Principal Investigator, Professor Dana R. Fisher. We seek a junior scholar with a deep knowledge about environmental social science and civic engagement, and a
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We currently have a Postdoctoral Fellowship position available within a research team headed by Dr. Jeff Perry, Assistant Professor, Department of Cancer Biology and Molecular Medicine, and member
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through cutting-edge research. We currently have a Postdoctoral Fellowship position available within a research team headed by Dr. Jeff Perry, Assistant Professor, Department of Cancer Biology and Molecular
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care models into health policy systems Research Focus Areas The postdoctoral fellow will work with multiple levels of data and analysis, from individual stakeholder experiences to organizational systems
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be disseminated through academic publications and online webinars. The successful candidate will have a PhD in human-computer interactions or computer science and related fields, with demonstrable
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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data knowledge and gain valuable clinical trials development experience. Our program is designed to expose you to multiple departments and cross functional teams. In your first year, you will work as a
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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Principal Investigators and Professors in the Department of Health Promotion and Policy, the candidate will perform activities on multiple research projects. The candidate will be expected to work with a
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Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics