30 computer-programmer-"https:"-"U"-"FEMTO-ST" "https:" "https:" "https:" "https:" "J" Fellowship positions at Nature Careers in United States
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cancer, we have developed a comprehensive pipeline going from molecular genetics to the clinic. The Brugarolas lab is also the hub of the Kidney Cancer Program (https://kcp.utsw.edu/ ), one of two
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Master's student, and several Undergrad students, and we plan to recruit an additional Postdoc and a graduate student over the next couple of years. More information about the Kim lab can be found here: http
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Postdoctoral Fellows to join a dynamic, fully funded research program investigating how environmental exposures and inflammation drive hematopoietic stem cell dysfunction, clonal hematopoiesis, and the
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, in vitro models, and large collections of well-annotated clinical specimens. We employ state-of-the-art computational biology/bioinformatics approaches to dissect acute and adaptive responses to RAS
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. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. Located in
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foundation in related fields who are eager to learn and contribute to our research program. Technical duties include but are not limited to: Lead independent research projects, including hypothesis development
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these discoveries into new therapeutic strategies. Individual projects will be tailored to the candidate’s background and interests, with additional opportunities for collaborative work with the Cancer Program at
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of the visual system. By broadening its focus, the program fosters interdisciplinary collaborations, driving significant advancements in understanding the complex, interconnected systems of the eye and beyond
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The Intramural Research Program (IRP), National Institute on Drug Abuse (NIDA), a research component of the National Institutes of Health (NIH), Department of Health and Human Services (DHHS) has
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such as system usability, improved patient outcomes, and workflow optimization. Preference will be given to candidates who have completed a clinical informatics fellowship or similar advanced degree program