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., differentiable programming) for upscaling of GHG fluxes, and who is willing to discuss the model complexity needed to capture global-scale wetland GHG emissions. The work will build on ongoing model
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foundation in linear algebra (tensor networks and beyond) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank
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discipline; proficiency in scientific programming; and demonstration of experience in quantitative research. PREFERRED: Experience in inverse modelling; experience of using 3D chemical transport
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: Ph.D. in a relevant discipline; proficiency in scientific programming; and demonstration of experience in quantitative research. PREFERRED: Experience in inverse modelling; experience of using 3D
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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quarterly fellowship reports describing research, writing, and presentation activities and will engage with relevant HAI programming throughout the appointment. Appointment and review This is a full-time
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For positions in Chemistry/Physics: Applicants are required to have a Ph.D. in Chemistry, Physics, or a related field. Experience with quantum simulations (broadly defined), programming (Python, Julia
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Director provides day-to-day leadership for student success, outreach, programming, and program operations. This position works closely with the Torero Urban Scholars Graduate Assistant to coordinate
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analysis. Publications as the first author in peer-reviewed journals. Supplemental Qualifications · Ideally 2-3 years of relevant hand on research experience. · Strong background in proteomics and/or nucleic acids biochemistry. Competence with bioinformatics programming in R
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); write technical publications. Basic Qualifications Ph.D. or equivalent terminal degree in quantitative, computational, or biomedical discipline. Programming proficiency in Python, Julia, R, or MATLAB