26 phd-rehabilitation-engineering-computer-science research jobs at University of California
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. Supervise laboratory interns or students, if there is mutual interest. What is Required: Ph.D. in Geology, mineralogy, earth science, chemistry, materials science, physics, computer science or relevant STEM
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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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. Qualifications: - Applicants should have (or expected to get in a near future) a Ph.D. in applied mathematics, electrical engineering, computer science, or other related fields. - Strong quantitative and
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should have (or expected to get in a near future) a Ph.D. in applied mathematics, electrical engineering, computer science, or other related fields. - Strong quantitative and programming skills
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information science, and applied social science research. This position is well-suited for someone interested in research design and the application of geographic principles and methods to policy analysis and
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, hydrology and/or focus in environmental related topics, or a closely related discipline, at the time of application. Additional qualifications (required at time of start) PhD in ecology, biology, hydrology
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, and HPC systems and network technology. Research areas in Computing Sciences include but are not limited to: Developing scientific applications and software technologies for extreme-scale and energy
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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
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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
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for ALS experimental beamtime. Collaborate with ALS Beamline Control Group and engineering to implement faster than currently installed X-ray detectors. In collaboration with ALS Computing group, develop