9 software-formal-method-phd Postdoctoral positions at University of California in United States
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or papers from Ph.D. currently under review Experience with life-cycle costing, life-cycle environmental assessment methods and/or software Strong skills in Python (preferred) and/or a similar programming
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collaborate with research partners to develop and utilize novel characterization and diagnostic methods to identify critical performance and durability barriers for these electrochemical devices and develop
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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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the group are encouraged to develop new data analysis ideas and methods. The successful candidate will also be heavily involved in our ongoing project to develop and build new, high-speed data acquisition
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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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. Preferred backgrounds include nonlinear optics, quantum optics, spectroscopy, or instrumentation. Proficiency in software and coding (e.g., MATLAB, LabVIEW, Python) is expected. Applicants with a strong
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for a PhD Degree in Oceanography / Marine Science / Environmental Fluid Mechanics, or a related discipline except the dissertation at the time of application Additional qualifications (required at time of
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include a short section setting the context and motivating the work, a main section explaining the research questions and expected methods and data that will be used, and a short final section that