157 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" PhD positions in Norway
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10th April 2026 Languages English English English The Department of Geosciences (IGV) has a vacancy for a PhD Candidate within Rock Engineering for New Hydropower Plants - Design and Construction
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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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for health economic evaluation will be considered an advantage. The candidate should be able to work independently and in a structured manner, while also being capable of effective collaboration with others
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and process engineering, robotics, construction and architecture, industrial economics, environmental physics and renewable energy, geomatics, water and environmental engineering, applied mathematics as
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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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to evaluate and inform digital health interventions for women at increased risk of GDM. The project will primarily utilize data collected from a completed randomized controlled trial (https://bump2babyandme.org
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includes around two dozen PhD students, Post-Doctoral and Research Fellows, and Associate Professors II. Read more about HUP section at: https://www.sv.uio.no/psi/english/about/organization/sections/hup
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to evaluate and inform digital health interventions for women at increased risk of GDM. The project will primarily utilize data collected from a completed randomized controlled trial (https://bump2babyandme.org
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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