46 algorithm-development-"Prof"-"Prof"-"Prof" Fellowship positions at Nature Careers in United States
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and cancer. Ultimately, we aim to mitigate the pathogenesis and develop treatments for chronic metabolic diseases. We have established unique, comprehensive mouse models for: 1) real-time labeling and
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to intervene the malignancies 3) collaborative analyses of myeloid cancers genomics using high-throughput single-cell sequencing chor high throughput proteomics 4) development of small molecule drugs and PROTAC
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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-cell genomic characterization. In addition, the development of novel immunologic techniques and the application of new technologies will be key components of the effort and investigating the function
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multiomics, high-throughput sequencing projects and help develop any projects based on the most advanced technologies. Your qualifications should include: Ph.D. in Biochemistry, Bioinformatics, Genomics, or a
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$150,000. This opportunity is aimed at theoretical physicists pursuing mathematical modeling of the early universe, including its initial conditions, structure, and dynamical evolution. The award is open to
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regulation and other aspects of cellular signal transduction. We use our structural and mechanistic insights to drive development of novel anti-cancer drugs. Systems of current interest in the lab include RAF
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will collaborate directly with an interdisciplinary team to develop and implement innovative AI-driven applications designed to significantly enhance pediatric care delivery, patient outcomes, and
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development of innovative therapeutic strategies. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care
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lung and other malignancies, affording access to patient samples and large tumor databases. Specific research areas of interest include development of optimized strategies for efficient and specific