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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here
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or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions
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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation
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: Probabilistic generative models (VLMs, diffusion, flow models) Reinforcement learning & Markov decision processes Causal inference & counterfactual reasoning Mechanistic & physics-informed modeling Agentic AI
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productisation of solutions, including experimental design and prototype validation. Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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Center for Drug Evaluation and Research (CDER) | Jefferson, Arkansas | United States | about 2 months ago
outcomes and their underlying biological factors in the rat following perinatal exposure. Under the guidance of the mentors, you will engage in many aspects of the research process, including experimental
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, with applications ranging from scientific research to medical imaging and marketing analysis. With the ever increasing amount of learning data, these algorithms face computational challenges
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—energy management by building on and scaling the HouseZero ® concept—Harvard’s prototype for ultra-efficient, naturally ventilated smart buildings—into interconnected communities. This unique initiative
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 13 hours ago
on the development of optical models, image acquisition software, image processing algorithms, and deep learning algorithms using Zemax, Python, Matlab, LabVIEW, CUDA, and other programming environments. Training