43 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" Fellowship positions at Nature Careers in United States
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team is seeking a highly motivated candidate with skills and understanding in antigen presentation utilizing bioinformatics tools to be applied to vaccine development utilizing viral vectors
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populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated
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., somatic) somatic mutations in the human brain. The lab is interested in studying somatic variation as it pertains to typical brain development as well as in neurological diseases like epilepsy. To that end
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. Dr. Wang's laboratory conducts cutting-edge research to understand the evolution of cancer transcriptomes through DNA-RNA dynamics, aiming to uncover mechanisms of cancer initiation, progression, and
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career development of young investigators in the field of basic and translational hematology. Postdoc candidates will also have the opportunity to learn basic and clinical hematology, innate immunity
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interested in the dynamics of beta-cell heterogeneity, islet organization and cell-cell interaction in fetal and neonatal development. The Dhawan lab utilizes genetic mouse models, molecular biology, imaging
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experimental approaches to uncover cell-intrinsic and environmental mutational sources and to study their impacts in cancer development and evolution. We leverage mutational signatures—distinct genome-wide
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experiments, analyze and interpret the data; Prepare scientific presentations and publications Supervises the experiments and data analysis of technicians or students as needed Qualifications: Ph.Ds or M.D
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Imperial College Research Fellowship £48,056 - £56,345 per annum About the role: Imperial College London is promoting our exciting opportunity for outstanding early career researchers to develop
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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