581 structures "https:" "https:" "https:" "https:" "https:" "Imperial College London" 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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Website https://karriere.norceresearch.no/en/jobs/7235739-phd-research-fellow-in-data-a… Requirements Research FieldMathematics » Applied mathematicsEducation LevelMaster Degree or equivalent Skills
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investigate, develop models and solutions for Mobile Cybersecurity, including offensive and defensive methods based on ML/AI. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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) to enhance AML capabilities. AI-driven solutions can learn from vast datasets to spot hidden patterns and anomalies beyond human or rule-based detection. For more information and how to apply: https
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allocations, and this doctoral fellowship is expected to have a strong experimental component. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294517/phd-research-fellow-in
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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en
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symposium June 10-11, 2026 (hybrid physical/digital event, see details at uit.no/project/arcticmsca/program-structure ). At this event, the candidates will present their past research achievements, discuss
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are able to: Work independently and take initiative Work in a structured way, set goals, and make plans to achieve them Present and discuss your research with other professionals Collaborate
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Experience or competence in heterologous production of enzymes is an advantage Teaching experience is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good
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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