12 affective-computing-"https:"-"https:"-"https:"-"U.S" positions at Lawrence Berkeley National Laboratory
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Group in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) is seeking a Computational Career-Track Research Scientist. The successful candidate
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make a lasting impact in a field that's rapidly evolving. Why join Berkeley Lab? We invest in our employees by offering a total rewards package you can count on: Exceptional health and retirement
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Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher -- Scientific Machine Learning (NESAP) to join the Workflow Readiness team as part of NERSC's
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Bachelor's degree in Computer Science or related technical field; or 6 years and a Master's degree; or equivalent practical experience. Demonstrated ability to work in a collaborative team environment
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. We're here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work
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health and construction safety field assessments, monitoring and sampling activities in support of asbestos and lead projects, and other EHS program support. Additionally, the role involves
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a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes! Why join Berkeley Lab? We invest in our employees
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for advanced energy storage applications. This position is part of a multidisciplinary program focused on the design, synthesis, processing, and characterization of organic-inorganic hybrid materials capable
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the ability to prioritize work, meet deadlines, and contribute to the planning of a scientific research program. Excellent oral and written communication skills including the ability to organize technical
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undergraduate student in good academic standing during the semester enrolled in an engineering program or similar technical program. Basic understanding of engineering principles Proficiency with Microsoft Office