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-2 years) in Applied Mathematics, Computational Biophysics/Physics, Computer Science, Data Science or a related discipline. Experience developing numerical methods for solving inverse problems in
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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 Physics, Material Sciences, or a closely related
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process variables and product outcomes. The candidate should be familiar with electrochemical and mechanical concepts. What You Will Do: Systematically vary mixing conditions to produce battery slurries and
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chemical and physical principles along with an ability and eagerness to learn and apply new techniques. What You Will Do: Design and fabrication of electrodes and electrochemical devices using techniques
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, radiocarbon dating, metabolomic analysis, and synthesizing chemical and physical-chemical data. Join a multidisciplinary team at two national laboratories and four universities. You will be working with
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Berkeley Lab’s Applied Mathematics and Computational Research Division has an opening for a Postdoctoral Scholar with a strong background developing artificial intelligence (AI) and foundation
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, plant science, microbiology, modeling, and life-cycle analysis. Responsibilities include soil sampling, radiocarbon dating, metabolomic analysis, and synthesizing chemical and physical-chemical data. Join
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-reviewed journals. Presenting at conferences and internal meetings and workshops. What is Required: Ph.D. in physical chemistry, chemical engineering, materials science, materials engineering, or related
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nonproliferation, including but not limited to analytical, physical, theoretical, or nuclear chemistry, radiochemistry, nuclear engineering, nuclear physics, radiation detection, AI/ML, and QIS. Excellent oral and
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Electrical, Mechanical or Chemical Engineering, Materials Science, Physics, or a related field that is earned no later than by the program start date. No more than three (3) years of paid postdoctoral/post