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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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functional theory) and high-performance computing. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to
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the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or Julia), and Experience interacting with and communicating complex
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, policymakers, and advocates. Programming skills are essential (we mostly work in Python, though other languages are welcome), as is a strong grasp of statistics and an eagerness to learn more. Recommended
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or Python. Lastly, candidates should have experience performing human subjects experiments. Application Material: Curriculum Vitae with pointers to your research/expertise-related online profiles (e.g
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fibers, optical and optomechanical components are desired. Experience in scientific programming using MATLAB/Python/C/C++ for data analysis and algorithm development will be favorably considered. Good
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, familiarity and experience with scripting languages for data analysis, such as Python and R, are desired. Other preferred qualifications include familiarity with Amazon Web Services, as well as familiarity with
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, materials science, chemical engineering, bioengineering, or a closely related field. The candidate should have strong problem-solving skills and be highly motivated. Programming skills (Python or Fortran
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/nonlinear optics, ARPES, RIXS and/or THz/magneto-optical spectroscopy is preferred. Technical skills: Python, Latex, and Solidworks are beneficial to the role. Applicants should submit their CV, including a