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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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PhD Student (gn*) Reference Number: 10754 Fixed-term of 3.5 years | Part-time with 65% (25 hours/week) | Salary according to TV-L E13 | Clinic for Radiology / Translational Radiology Group and
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Strategies’ is just the thing for you. Radboud University is looking for a PhD candidate to work on ‘Shared Pathways for Cross-Sectoral Long-Term Strategies’. The position is part of the NWO-NG INFRA-funded
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, Quaternary Science, Palaeoecology, or a related field. Experience in palaeolimnology, palaeoecology, limnology, microfossil analysis and/or sediment work would be an advantage. Candidates should hold a valid
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environmental impacts of digital activities. You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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Acknowledgement of Country CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection
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will help characterise and develop optical techniques for satellite tracking, satellite identification and orbit determination. They will work with their supervisors and colleagues to further our
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory