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(e.g., FDTD, FEM, RCWA) Experience with data analysis tools such as Python or MATLAB Experience with 2D materials, polaritonic systems, or anisotropic optical media Experience with near-field optical
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processes contributing to sea level change; b) experience with ocean and/or earth system modeling; c) experience with Python and scientific data analysis. Candidates must have a Ph.D. or expect to complete a
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, ideally with experience in generative models, reinforcement learning, or high-dimensional optimization. Programming proficiency in languages such as Python. Ability to work both independently and in a team
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minimum pay as determined by rank and/or step at appointment. See the following table(s) for the salary scale(s) for this position https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
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, Python, and SAS or Stata Demonstrated expertise in analysis of claims data Clear scientific writing and communication, an ability to work both independently and in teams, and a track record of publications
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formatting spectral data using Python-based software Uploading data to SpecTable, the public XAS reference library. Who are you? A university student (minimum 120 credits, including at least 60 in chemistry
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image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C++, or similar) and experience with
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demonstrated proficiency in programming, specifically in Python and R, as well as experience with modern deep learning frameworks like PyTorch or TensorFlow. In addition to technical skills, the candidate must