9 requirements-engineering-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of California
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research through talks and posters at conferences, workshops, and multi-investigator meetings. Adhere with the Berkeley Lab and ETA safety requirements. Work on meeting milestones and reporting them to DOE
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developing and running hydrologic and land model simulations and a working knowledge of high-performance computing environments. Specific responsibilities will involve the use of ATS-EcoSIM, a new version of
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their research at Berkeley Lab and UC Berkeley. We are looking for: Ph.D. in Nuclear Physics, High Energy Physics, Astrophysics, Nuclear Engineering, or a related discipline within the last two years. Experience
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building a self-improving, closed-loop discovery engine that couples AI hypothesis generation with the A-Lab, Berkeley Lab's fully autonomous laboratory for inorganic materials synthesis and characterization
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, Chemistry, Physics, Applied Mathematics, Materials Science, Chemical Engineering, or a related technical field. Demonstrated research experience in machine learning or deep learning for scientific
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*Please read application instructions below prior to clicking on APPLY NOW* As you complete the online application you will need to submit/upload the following documents when applying
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-quality requirements, and analysis-ready data structures. Develop machine learning models that integrate multimodal experimental and simulation data. Contribute to the development of Crucible Data Platform
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relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Work modality: Work will be
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, Interoperable) principles Build and extend tools that validate datasets, and check whether they meet AI-readiness requirements. Help automate dataset preparation using reporting format templates and structured