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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
experimentalists, cancer research scientists and biomedical engineers. Qualifications The candidate must hold a PhD in one of these disciplines: Mathematics, Numerical Analysis, Computational Mathematics
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. Qualifications: • A PhD in applied mathematics, statistics, electrical engineering or computational sciences completed within the past 5 years (or soon to be completed) • Experience in numerical analysis and
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. Applicants must have submitted their PhD thesis to the PhD evaluation committee when sending the application. Appointment is conditional on having successfully defended the PhD thesis. The candidate´s PhD
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plant architecture optimization, but new areas, particularly in molecular biology, immunology, and genomics, are welcome. For more information, see: navlakhalab.net. Position Requirements PhD in
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explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include
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, treatment planning, and patient care. The research will involve data collection and preprocessing, model architecture design, pre-training and fine-tuning, evaluation and benchmarking, and model optimization
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Stanford’s Department of Computer Science and the Data Science team at Stanford Health Care. Our research spans both core methodological advancements (e.g., developing novel ML architectures and evaluation
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mathematics/statistics department at Illinois Tech that offers BS through PhD degrees, including a nationally ranked Master of Data Science in partnership with the Department of Computer Science, and the newly
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require close collaboration with members of the Neutron Technologies Division, the Neutron Scattering Division and the Computer Science and Mathematics Division, as well as project members from other DOE
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familiarity with DMS and DERMS functionalities and architectures; evaluate and enhance operational schemes under high DER penetration. Model microgrids in distribution networks including dynamic and steady