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Strong background in control, robotics and machine learning, and experience in areas like model predictive control, adaptive control, reinforcement learning, robot perception or manipulation. Programming
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interest in space and space research Behavioural competencies Education You should have recently completed (within five years), or be close to completion of a PhD in microelectronics and radiation effects
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solutions for offshore wind turbines, enabling to enhance their structural awareness, real-time reliability assessment, and predictive maintenance decision support through integrated sensing, modelling, and
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processes. The excellent outcrop exposure due to limited vegetation cover, and extensive mineral occurrences provide a unique natural laboratory to advance predictive mineral system models. Our research will
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of tropical forest-climate system interactions, and works on cutting edge advancements in model predictions of tropical forest responses to a changing climate over the 21st Century. We invite outstanding early
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Espen Eidum 8th October 2026 Languages English English English Faculty of Engineering Sciences and Technology PhD Fellow in Distributed Acoustic Sensing for Arctic Railway Infrastructure Monitoring
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data science, contributing to projects that leverage cutting-edge multiomic datasets to develop predictive models of therapy response and identify clinically actionable biomarkers. Located in Boston and
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solutions for offshore wind turbines, enabling to enhance their structural awareness, real-time reliability assessment, and predictive maintenance decision support through integrated sensing, modelling, and
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assimilation on weather prediction Perform data-preprocessing, quality control, error modelling and correction Write reports and scientific publications Job Requirements: PhD qualification degree in Atmospheric
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and co-speech gestures during naturalistic communication, and how age-related differences in hearing, attention and cognitive control shape comprehension under uncertainty. The post-holder will