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Institut national de la recherche scientifique (INRS) | Varennes, Quebec | Canada | about 23 hours ago
lead the development of the new proposed NC-ARPES technique and will also have the opportunity to propose new and independent investigations with the state-of-the-art TR-ARPES machine at ALLS
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The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently adopted in CLM-FATES at UiO. The aim is: to constrain
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Dining Services (4) Center for Teaching & Learning (4) Dean of Students (4) Dental Clinic (4) Grad Health Professions in Med (4) Institute for Human Dev (4) Libraries (4) Med Ed Support Services (4) Med
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. The HDL and SPKI research groups are part of the Centre of Research-based Innovation SFI Visual Intelligence that is a center-of excellence in machine learning research. The research groups are also active
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understanding of adaptive immune receptor (antibody and T-cell receptor) specificity using high-throughput experimental and computational immunology combined with machine learning. The long-term aim is to
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degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system is required. The candidate must have interest and solid background in software systems, machine learning
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in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal
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multimodality imaging including PET/CT, SPECT/CT, and PET/MRI with a focus on integrating machine learning techniques. The appointment will be two years from the date of hire with a possibility of extension
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algorithm development, modeling machine learning, and scientific simulation ▪ Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists ▪ Strong oral and written
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, economics, computer or data sciences, management, public policy, or an associated discipline. Along with their mentored research, this fellow will join a cohort of Fritz Family Fellows working