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projects, from study design to publication. This includes development of machine learning models, computer simulations, and app/software engineering. This role requires strong academic writing skills and the
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leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. A hot bed of cutting-edge technology and groundbreaking research, the College aims
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, Computer Engineering, or a related field. Strong background in smart contract security, blockchain systems, or software security. Experience in program analysis, formal methods, or vulnerability detection
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Engineering. The position is vacant from august 2026. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree
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for developing Windows desktop application software incorporating deep learning models Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A
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-learning acceleration at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). The position is supported by the EU Horizon project CIRES and offers the opportunity
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for position as PhD Research Fellow in Climate Risk and Energy Systems available at the Department of Technology Systems (ITS) at the University of Oslo. The desired starting date is approximately September 2026
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applications for position as PhD Research Fellow in Climate Risk and Energy Systems available at the Department of Technology Systems (ITS) at the University of Oslo. The desired starting date is approximately
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a sustainable, reliable and low-carbon energy future. Our centre is seeking to hire a motivated research fellow to conduct advanced research on power engineering. The position will focus on cutting
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Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., WAMIT, ANSYS AQWA, OrcaFlex) and finite element analysis