44 web-programmer-developer "https:" "https:" "https:" "UCL" "UCL" Fellowship positions at Nature Careers in United States
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of antibody functional screening data. These efforts will advance methods for rapid machine learning-based antibody drug design while developing new and improved antibody drug products. We are looking
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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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in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our
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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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of Dr. Andrew Lane (https://lanelab.dana-farber.org/), within the Hematologic Neoplasia Division of the Department of Medical Oncology at Dana-Farber Cancer Institute. Located in Boston and the
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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benefit from an individualized training approach, including access to world renowned interdisciplinary mentors, a goal-directed development plan, a top-ranked scientific environment, exceptional educational
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will work within the Wolpin-Nowak laboratory (https://labs.dana-farber.org/wolpin-nowaklab/) as part of the Hale Family Center for Pancreatic Cancer Research (https://labs.dana-farber.org/halecenter) and
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for therapeutic development. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our
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& Responsibilities: Develop advanced deep learning methods for radiology or pathology medical imaging Integrate imaging data with EHR, clinical notes, or genomic data Conduct research on segmentation, classification