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Additional Information Benefits full-time position, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc
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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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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated PhD candidate to advance predictive, data-driven production and
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part of an international team Desired Qualifications Familiarity with cloud computing platforms and large-scale data processing German language skills Publications in computer vision or machine learning
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of Life Sciences (NMBU) has a vacant 3-year PhD–position related to developing deep learning models for 3D forest point clouds. The position is part of "SmartForest" (www.smartforest.no ), a center for
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derive the full benefit from the network training As secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at the University
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15th February 2026 Languages English English English PhD Research Fellow in Data Integrity for Digital Health & Medical Wearables (DC9) at the University of Ulm, Germany (ENDOTRAIN) PhD-position
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, future research interests, and including a list of publications and presentations (if applicable; max. two pages) PDF or cloud link of the Master’s thesis (if already submitted, otherwise a major
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, future research interests, and including a list of publications and presentations (if applicable; max. two pages) PDF or cloud link of the Master’s thesis (if already submitted, otherwise a major
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, future research interests, and including a list of publications and presentations (if applicable; max. two pages) PDF or cloud link of the Master’s thesis (if already submitted, otherwise a major