59 computer-science research jobs at Lawrence Berkeley National Laboratory in united-state
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an opening for a Computational Biology Postdoctoral Fellow in Health Sciences. In this exciting role, you will work on computational analysis, data integration and machine learning among other methods directed
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Berkeley Lab’s (LBNL ) Biological Systems and Engineering (BSE ) Division has an opening for a Computational Biology Postdoctoral Fellow in Health Sciences. In this exciting role, you will work
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Berkeley Lab for the U.S. Department of Energy’s Office of Science. Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement
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biosciences, physical sciences, and computational sciences. Your role involves contributing to ACSD’s efforts in understanding biochemical processes for carbon capture by developing AI and inverse design
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infrastructure, digital integrity, security, privacy, sustainable software engineering, and user experience (UX). The Usable Data Systems (UDS) group within this division seeks a Computer Systems Engineer (CSE
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, and computational sciences. Your role involves contributing to ACSD’s efforts in understanding biochemical processes for carbon capture by developing AI and inverse design technologies for accelerated
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nanoprobe microscope. Working within the Microscopy Program in the Photon Science Operations group, this researcher will collaborate on the design, implementation, commissioning and initial scientific use
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engineering, and user experience (UX). The Usable Data Systems (UDS) group within this division seeks a Computer Systems Engineer (CSE) for UX Research & Design. This role involves incorporating user needs
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discipline. Demonstrated wet lab experience in structural biology and working with proteins. Demonstrated computational programming skills including C and Python. In-depth understanding of protein, DNA, and
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Science Acceleration Program (NESAP). NESAP postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy Office