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. Programming skills (Python or Fortran preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations
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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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. 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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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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, 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