401 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Nature Careers
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for the technology, including brainstorming and literature review. Coordinate with biopharma partners to streamline development and promote industry adoption. Participate in grant writing to secure project funding
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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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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of the Medical University of Vienna. With around 6,500 employees and 8,600 students, the Medical University of Vienna is one of the largest biomedical research and teaching institutions in Europe (https
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, building upon our recent work published in Nature (https://www.nature.com/articles/s41586-025-09889-w ). Your Responsibilities As part of the role, you will be required to operate and maintain state
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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pediatric psychology. The postdoctoral fellowship training program is designed to enhance skills of psychology trainees preparing for a career in a pediatric academic medical setting. As a fellow, you will
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Please apply here: https://apply.workable.com/ellison-institute-of-technology/j/91F1A5719B/apply/ Led by a world-class faculty of scientists, technologists, policy makers, economists and
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types