36 evolution "https:" "https:" "https:" "https:" "https:" Fellowship research jobs at Nature Careers
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Anderson Cancer Center. 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
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software development experience, and intimate knowledge of machine learning frameworks (such as PyTorch and Transformers) are advantageous. Publications in top ML/NLP venues such as NeurIPS, ICLR, ICML, ACL
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of quantum field theory, mathematical aspects of string theory, general mathematical physics or quantum algorithms and quantum software development. We stress that candidates with an excellent research track
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for therapeutic development. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world-renowned clinicians, innovative researchers and dedicated professionals, allies in
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Economy; Future Health: Biotechnology and Digital Health; Digital Evolution: The Future of Culture, Society, and Media; Smart Manufacturing and Material Sciences; Next-Generation Finance and Economics
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and most concentrated centers of science, engineering, and medicine in the United States. Further information on SDB can be found at https://sdbri.org. Position Overview San Diego BioMed (SDB) is
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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
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; Future Health: Biotechnology and Digital Health; Digital Evolution: The Future of Culture, Society, and Media; Smart Manufacturing and Material Sciences; Next-Generation Finance and Economics; Advanced
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design of motile macromolecules, 2) integration of physics-based simulation and machine learning methods, 3) development of enhanced approximation methods (implicit solvation, coarse-graining, etc
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software