19 Computer Science Postdoctoral positions at Nature Careers in united states in United States
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approaches such as transcriptomics, proteomics, CyTOF and metabolomics. Developing cloud computational infrastructure, integrating multi-omics datasets and applying machine learning methods to high dimensional
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The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for postdoctoral research in systems epidemiology of cancer. This is a 3-year flexible program
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We are seeking 2 highly motivated postdoctoral fellows with background in either development/stem cell, neuroscience, craniofacial biology to join NIH-funded Jian-Fu Chen laboratory at Center
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of Medicine. Position: You will join an established NIH funded laboratory that is focused on developing innovative proteomics approaches and using these to new methods to address basic science and huma health
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located in a modern, fully equipped research facility in the Texas Medical Center in Houston, TX. The goal of the Training Program at the CNRC is to prepare Ph.D. and M.D. recipients for academic careers in
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also enroll in the graduate degree program leading to the Master of Science in Epidemiology. Residents will share in rotating on-call duties for weekends and holidays Qualifications Applicants must have
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Postdoctoral Research Associate position at University of Oklahoma Health Sciences Center The Kamiya Mehla lab at the newly established Department of Oncology Science and the NCI-designated OU
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should have a PhD degree or equivalent and should have a strong background in coding and AI approaches. Degree in computational science, neuroscience or related fields is preferable. Familiarity with brain
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assessment, muscle morphometry, cell proliferation, nutrient signaling, and molecular biology laboratory techniques. The Postdoctoral Fellow will participate in the CNRC Postdoctoral Fellowship Training
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to application of machine learning and data mining techniques to analyze multiple data modalities related to corneal disease, including imaging, genetic and clinical data. Qualifications PhD in Computer Science