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. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: • Developing machine learning, optimization, or simulation models to improve clinical operations
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supermassive black holes through a combination of observational data, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO
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focus on processing and utilising machine-learning techniques to analyse large volumes of data from sensors installed in Phase 1. The aim will be to merge the QC points and tracking system developed in
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at the various infrastructure platforms at Umeå University (https://www.umu.se/en/research/research-infrastructure/ ). Qualifications The postdoctoral fellow is required to have completed a doctoral degree or a
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various processes in modern machine learning, including learning, inference, and generation. In particular, we are working to establish novel theories and algorithms that enhance the efficiency
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Website: https://engineering.uark.edu/ Summary of Job Duties: The Postdoctoral Fellow - Biomedical Engineering will continue investigation of cancer nerve crosstalk in both breast cancer and pancreatic
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Website https://www.timeshighereducation.com/unijobs/listing/404686/postdoctoral-associ… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteNEW YORK UNIVERSITY
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with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design
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researchers working on hyperspectral imaging, radiative transfer modelling, machine learning, agronomy, and plant genetics. You will also work with HYDRA-EO partners in Netherlands, Spain and Italy
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will (micro-)benchmark Java-based applications using JMH. You will collect performance measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning