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Field
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide complementary information on 3D structure (GEDI lidar, BIOMASS P-band radar, NISAR L-band radar) and high...
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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then be fed into process-level flowsheet models. The UK-National Nuclear Laboratory (UK-NNL) is supporting this project. In addition to acquiring training in computational modelling and theory
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is related to clouds, radiation, and atmospheric circulation. Climate models are at the core of our research, in particular models that simulate global weather and climate at kilometer-scale resolution
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philosophical analysis. Current case studies examine steroid hormone use by bodybuilders (PI-led) and DIY gender-affirming care (Postdoc-led). Your personal sphere of influence: The PhD Project: The successful
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, PhD, Postdoc) who love to develop the instruments of tomorrow. Together we have assembled a unique skill set and knowledge base in optics, electron optics, quantum sensing, microscopy, adaptive optics
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scientists (Master student, PhD student, postdoc, senior scientist), currently of six different nations, which are inspired by working together on solving technical challenges to advance fundamental questions
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scientists (Master student, PhD student, postdoc, senior scientist), currently of six different nations, which are inspired by working together on solving technical challenges to advance fundamental questions
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depend on cloud computing or high-bandwidth communications. Instead, sensing and AI inference must operate directly at the edge, under tight constraints on power, bandwidth, and compute. This studentship