617 structures "https:" "https:" "https:" "https:" "University of Minho" positions in Norway
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event, see details at uit.no/project/arcticmsca/program-structure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and
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95 94 31 Deadline for applications is 5 May 2026. This date also applies to the submission of publications/written work. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/298248
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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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of the position Numerical simulations of nonlinear photonic waveguides and devices Photonic design of hybrid integrated laser structures for manufacturing at NTNU or in collaboration with external foundries
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at uit.no/project/arcticmsca/program-structure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and learn how to write a
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transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management
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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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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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, 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