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or Cloud computing and machine learning techniques? You stand out from your peers because of strong commitment and independent work? You are a team player and communicative (excellent oral and written
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or Cloud computing and machine learning techniques? You stand out from your peers because of strong commitment and independent work? You are a team player and communicative (excellent oral and written
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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
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who want to develop and use Franklin technologies in novel, interdisciplinary research spanning our different scientific challenges . We welcome candidates from any scientific, maths, computing
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with deep learning and 3D point clouds Apply for this job See advertisement About the position The Faculty of Environmental Sciences and Natural Resources Management (MINA) at Norwegian University
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 3 hours ago
Research Council Office across Canada Classification: RO/RCO Tenure: Term Work arrangements: Depending on the nature of the work and operational requirements, positions hired through this program may be
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, and play an important part in accelerating the progression towards net zero in the UK and globally. In this PhD project, the student will lead on computational methods, including molecular dynamics (MD
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Scholarship China Scholarship Council - Visiting PhD Scholars Program Application is required. Check eligibility Key scholarship details Application status Open for applications Applications open 1
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, computing or engineering backgrounds. What the Franklin PhD Programme Offers A unique research-focused environment, plus collaborations with leading universities and global companies Access to brand-new labs
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for REF 2021 - Research Excellence Framework. For more information about our research results and case studies please visit the following link: https://www.exeter.ac.uk/research/ref2021/ Projects Available