34 civil-engineering research jobs at Lawrence Berkeley National Laboratory in america
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of scientists and engineers making significant impacts in stride in the fields of materials science and energy. Join our dynamic team at the The Materials Sciences Division , where we are pioneering the future
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from diverse backgrounds, and interface with research teams from across industry, academia, and national laboratories. Uphold a culture of safety and promote diversity, equity, and inclusion
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, civil/environmental engineering, earth sciences, hydrology, or related field. Expertise in reactive transport models and microbially-mediated biochemical reaction networks. Ability to develop new research
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Details Posted: 09-Jun-24 Location: Berkeley, Salary: Open Categories: Academic/Faculty Internal Number: 101733 Berkeley Lab's (LBNL ) Biological Systems and Engineering (BSE ) Division has
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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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to optimize the design of experiments and sample configurations for measurement sensitivity. Write regular reports on progress, publish journal papers in both fundamental science journals and applied technology
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for High Precision Patterning Science (CHiPPS)—that brings together a cross-disciplinary team of scientists and engineers to advance precision patterning science for next generation microelectronics
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Berkeley Lab’s (LBNL ) Biological Systems and Engineering (BSE ) Division has multiple openings for Postdoctoral Fellows in Health Sciences. In this exciting role, you will develop innovative
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Lawrence Berkeley National Lab’s (LBNL ) Building Technology Urban Systems Division has an opening for a Postdoctoral Scholar to join the team. This position is in the Whole Building Systems (WBS
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). This position has an anticipated start date of July 1, 2024. What You Will Do: Culture and genetically engineer diverse bacteria. Generate and analyze large-scale genetic datasets using high-throughput methods