52 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at NTNU Norwegian University of Science and Technology
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, and reinforcement learning for adaptive decision-making. A key aim is to connect wireless phenomena to learning robustness by combining physical-layer signal structure and signal-processing insights
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insights into fuel–air mixing, spray break-up, heat release, soot formation, and in-cylinder flow structures. Your immediate leader will be Professor Terese Løvås. About the project The PhD project will
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you are able to: Work independently Work in a structured way, set goals and make plans to achieve them Work in a team, present and discuss your research with other professionals Work constructively
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analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks on material design by using PyTorch or Matlab PLEASE
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may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.no
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independently and contribute to maintaining open, collaborative work environment. Work in a structured way, set goals and make plans to achieve them Present and discuss your research with other professionals Get
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the spectrum of possible tectonic and magmatic architectures. Using geophysical and geological datasets, we will conduct systematic mapping of the structural, stratigraphic, and volcanic geometries, in
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and gastric carcinoma. The PhD candidate will be part of a structured doctoral programme, with the aim of completing a PhD within the employment period (i.e., 3 years). Duties of the position Complete
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from information security, maritime operations, data engineering, and data governance. The research will include structured review of relevant literature, exploratory studies with industry partners and
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grade background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme: https