407 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers in United States
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advantageous to complement the existing expertise in genome editing techniques and disease mechanisms across all organs. The selected candidate will develop and maintain a thriving independent research program
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computational neuroscience, neuroengineering. We will only consider candidates doing experimental work that is integral to theory and engineering and do not require any significant wet lab space commitments
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The Department of Bioengineering at Stanford University (https://bioengineering.stanford.edu ) and the Arc Institute (https://arcinstitute.org ) invite applications for a faculty position at the
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Einstein College of Medicine About Us The Department of Genetics at Albert Einstein College of Medicine (https://einsteinmed.edu/departments/genetics) was established in 1964 and has a storied history of
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of research in the world. We publish the largest number of journals and books and are a pioneer in open research. Through our leading brands, trusted for more than 180 years, we provide technology-enabled
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Search for the Biosphere Sciences & Engineering Division Director Carnegie Science Pasadena, California Carnegie Science seeks nominations and applications for a visionary leader to serve as the
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Lavis Lab, please visit https://www.janelia.org/lab/lavis-lab About the role: In this role, you will support the vision of Open Chemistry by designing and synthesizing fluorescent dyes and other small
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Title: Associate or Senior Editor, Nature Communications (Digital health and computational biology) Location: New York, Jersey City, Philadelphia or Shanghai Closing date: February 6th, 2026. About
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with a world-class research program, in the school(s) and department(s) best suiting the candidate. Looking for a dynamic individual to join our faculty and lead efforts in this rapidly evolving field
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research, and a passion to pursue fundamental questions in basic neuroscience or technology development using cellular, animal, human, and/or computational models. We especially encourage applications from