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using diffusion algorithms. Curate a microscopy image and time series database. Is Time Limited No If Yes, Appointment Length Wolfpack Perks and Benefits As a Pack member, you belong here, and can enjoy
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on developing advanced new algorithms, testing and validation, and applications in medical neuroimaging and non-imaging modalities. The candidate will contribute to the overall research goals and objectives
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biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis
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machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics. Manage and mentor a team of data scientists (internal
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working with ML/DL platforms and algorithms. Track record of working with domain experts, researchers, and stakeholders to support diverse science and engineering applications. City: Piscataway State: NJ
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-resolution dosimeter, and new algorithms. Following this, the candidate will parameterize a Monte Carlo-based dose calculation system (e.g., GATE, TOPAS, or Geant4-based simulation tools) for evaluation in
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, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
development of data processing tools. The position is for one year with the possibility of reappointment for an additional year. It will involve developing, implementing, and validating novel algorithms
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algorithm, and basic understanding of diagrams are required. Special Instructions to Applicant Please upload resume online. Quick Link for Direct Access https://ecu.peopleadmin.com/postings/88404 Open Date 08
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees