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17 Sep 2026 Job Information Organisation/Company Reykjavik University Department Human Resources Research Field Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
determination by developing mathematical methods and integrating machine learning into crystallographic workflows. The successful candidate will develop theoretical and computational approaches to improve
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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python
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Are you interested in advanced computational modelling and state-of-the-art scientific software? Join us in creating the Bayesian multiverse: a computational framework for robust statistical analyses
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11th October 2026 Languages English English English We are looking for a PhD student in Computational Neuroscience at the Kavli Institute for Systems Neuroscience PhD in Computational Neuroscience
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Physical AI. Supervision: Dr Amir Atapour-Abarghouei (Durham), Prof Toby Breckon (Durham) and Dr Samet Akcay (Intel Principal Engineer, Edge Computing). The team publishes in top venues (CVPR, ICCV, ECCV
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23 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electric Energy Research Field Computer science Communication sciences
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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. The project brings together expertise in energy informatics, software engineering, data science, governance and social sciences to develop trusted data-sharing solutions for the heat transition. Within
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., functional polymers). The research typically involves a combination of engineering, materials science, chemistry, and physics. A major research area of focus is the separation of charge at interfaces of matter