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., patch clamp recording), two-photon imaging, confocal microscopy, and strong programming/data analysis skills. Candidates should have one or more first-author publications and be capable of leading
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have strong programming skills and experience developing research software. You have a solid quantitative background in numerical methods, optimization, or scientific computing. You can conduct
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about programming and mathematical modeling A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Priorities will be given to candidates
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research teams and with diverse research participant populations. Experience in one or more of the following areas is preferred: computational programming, computational modeling or simulation, auditory
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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