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optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques to quell opto-mechanical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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research objectives, under the direction of a supervisor. Demonstrated expertise in hydrologic, water quality, crop, and ecosystem modeling. Strong computer and statistical programming skills, with
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physics, and ultrafast lasers. Knowledge of scientific programming language(s) and computer simulation. Salary: Compensation will be commensurate based on the selected hire’s education and experience
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physics, and ultrafast lasers. Knowledge of scientific programming language(s) and computer simulation. Salary: Compensation will be commensurate based on the selected hire’s education and experience
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, or MATLAB) are required. Knowledge in one or more of the following areas is desirable: biomedical imaging, biomedical optics, computer vision, bioinformatics, single-cell profiling technologies, spatial omics
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package for employees. Learn about NREL’s critical objectives: NREL's Mission and Vision . Job Description The Catalytic Carbon Transformation & Scale-Up Center at National Renewable Energy Laboratory (NREL
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
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, robust, and reproducible data analysis. Conventional statistical approaches will be combined with innovations in interpretable machine learning to address each aim from multiple angles. Analysis code will
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applications in python with PyTorch/Huggingface/SpaCy, applications of computer vision and signal processing in Tensorflow or PyTorch, Llama and GPT models. Essential Duties Develop and execute new and/or highly