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to maintain laboratory equipment and instruments. Additional Responsibilities as needed: Participate in research proposal writing. What is Required: Ph.D. in Chemistry, Material Sciences, or a closely related
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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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global supply chains grow more complex and resource resilience becomes increasingly vital. This is a unique opportunity to work at the intersection of materials science, genomics, and microbial engineering
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astrophysics and cosmology research program. The Fellows will also find a rich data-science environment at UC Berkeley and LBNL, with world-expert researchers in both computer science/statistics and domain
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on physics, chemistry and AI to investigate a variety of mineral resources including brines, clays, hardrocks, mine tailings, and e-waste for their potential as feedstocks for the synthesis batteries and
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on zoonotic virus reservoir species. Experience creating research summaries, updates, and reports. Excellent written and communications skills. Familiarity with specific technology including but not limited
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year in condensed matter and quantum materials, energy sciences, biosciences, Earth and planetary sciences and more. The ALS is one of five Berkeley Lab user facilities that serves 15,000 users annually
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of California, Davis is an Equal Opportunity Employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin