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of Autonomous Systems at Simula, we are looking for a Postdoctoral researcher to work on explainable machine learning and natural language processing (NLP) for software engineering. The position will last for 2
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of a Postdoctoral Fellow. According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and
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related to staff position within a Research Infrastructure? No Offer Description [Technical] Assist the team with computer resources (access to clusters, and scaling machine learning programs), [Technical
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science field is required for this position. Expertise in modeling and/or experimental techniques, machine learning, or other methods used for the mechanical and physical characterization of materials is
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 9 hours ago
to machining processes, mechanics and dynamics. Duties and Responsibilities A Postdoctoral Fellow (""postdoc"") is a professional apprenticeship designed to provide recent Ph.D. recipients with an opportunity
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is founded by Innovation Found Denmark. Responsibilities: In the project two main approaches are compared. One based on black/gray box machine learning methods and another one on gray/white box data
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revolutionizing image reconstruction and analysis with state-of-the-art machine learning techniques. Ultimately, we aim to provide personalized diagnosis and therapy for optimal patient outcomes. Job Summary We
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 19 hours ago
safeguards to maintain steady-state operation without plasma interruptions. The integration of machine learning algorithms offers a promising solution to dynamically predict and manage these thermal loads
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for this development, but will work in a team of other PhD candidates, postdocs and technicians that will assist. Finally, the full 0.7-MV prototype will be developed along similar lines and with all lessons learned
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization