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. Conduct research in integrated food-energy-water applications. What is Required: PhD in civil or environmental engineering or related engineering/science discipline with a strong quantitative focus; PhD
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programming skills are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or
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-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or applied mathematics. The position is for one year with renewal for a second year pending
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opportunity to work on computational research related to one (or more) of the following areas: coastal dynamics (surf-zone to shelf), submesoscale processes, kelp-current interactions, or marine carbon dioxide
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extensive experience in batteries, electrolyzers and fuel cells, electrode material synthesis, spectroscopy, detailed diagnostics, and cell design) to aid in electrochemistry research. What is Required: PhD
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letters (at least one addressing teaching) Please reference job #09900 in the subject line of all correspondence. Applications are welcome at any time. The review process starts November 1, 2025 and will
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immediately and will remain open until filled. The level of this appointment is ideal for candidates who recently completed their PhD (or is expecting to soon). Interested candidates can apply by submitting a
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for Geographic Information and Analysis (NCGIA). Qualifications Basic qualifications (required at time of application) Applicants must have completed all requirements for a PhD Degree in Geography or a related
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) Applicants must have completed all requirements for a PhD (or equivalent) in Physics, except the dissertation, at the time of application. Additional qualifications (required at time of start) Applicants
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer