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study its impact on the degree of collaboration in hybrid teams. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and
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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 2 months ago
planning, improved treatment planning optimization algorithms, integration of MR and PET imaging into radiotherapy decision making and treatment planning, 4D imaging and motion management, the use of Deep
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AI labs on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Research and explore
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/algorithmic modelling. Experience with multidisciplinary IoT systems, including low‑power sensor networks and power‑constrained device architectures. Hands‑on experience with experimental testing in
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Vision Center (CVC, https://www.cvc.uab.cat ) is a center with over 150 persons, working on machine learning and computer vision research for more than 30 years, placed at the Universitat Autònoma de
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electrochemical phenomena. · Propose non-invasive diagnostic methods based on this digital twin. · Develop algorithms to speed up or standardize the determination of the parameters of this digital
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, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and algorithmic breakthroughs that enable
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presentation found here: http://www.med.umich.edu/cvc/pdf/cvcpotentialteam.pdf Job Summary The Telemetry Monitor Technician will be accountable and responsible for the continuous monitoring of cardiac rhythms
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, machine learning algorithms, and experimental condition-monitoring systems (accelerometers, acoustic emission sensors). WHAT WE ARE LOOKING FOR You have a strong interest in scientific and/or project-based
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lattice models. We welcome applications of candidates from a wide range of backgrounds from theoretical physics to pure mathematics. Candidates with experience in tensor network algorithms, rigorous