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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
of Us Research Program with the study goal of developing algorithms that predict individual responses to food and dietary patterns. The UNC Clinical Center (UNC-CC) is one of six clinical centers across
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recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms, their deficits and their rescue in genetic mouse models. This project is part of a cross-species, cross
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for combined network design and resource pricing, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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relationship to applicant Qualifications The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of
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on available work, funding, and performance. Anticipated Division of Time (30%) Direct research program in AI/ML applications for climate science, including supervising team members, developing novel algorithms
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represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary The Department of Genetics and Development is looking to hire
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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Preferred Qualifications: Experience with one or more of the following: Building novel 3D and super-resolution ultrasound systems. Developing deep learning algorithms for 3D biological data. Designing and
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Qualifications Faculty members in the Department of Human Genetics will need to meet the following requirements: Requirements (essential) Ph.D. Computer Science, Bioinformatics, Biomedical Engineering or