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workshops teaching communication skills, reasoning, problem-solving strategies in science, or simply showing how one can optimally budget energy, GRADE strengthens personal qualities and helps to transform
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, defined milestones will help you and your supervisors to evaluate the progress of the doctoral research project. Excellent Conditions Our aim is to create an optimal research environment for doctoral
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which evaluated molecular tumor board assisted care versus usual care for stage IIb-IV Non-Small Cell Lung Cancer (NSCLC) This position will offer numerous opportunities for the right candidate to hone
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optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
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for wind turbines, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime consumption while guaranteeing optimal power production
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail
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contributing to final layer predictions. • Objective 3: Non-convex Optimization and Local Minima -- Study the theoretical foundations and empirical behaviors of deep neural networks in the context of non-convex
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for our clients from numerous industries. Overarching top topics at Fraunhofer ITWM are Machine Learning as well as Artificial Intelligence and Renewable Energies or Sustainability. In addition, Next
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your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV containing one or more references