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the use of reinforcement learning approaches to enable tractable active auditing, by both relaxing guarantees and by adding work assumptions for proposing efficient algorithms. Where to apply Website https
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Planning of and participation in (RMT) field experiments in Germany, Europe and worldwide Further development of the processing algorithm for RMT data and integration into the analysis software available
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With support from its “Special Research Fund” (BOF) Ghent University grants PhD “sandwich” scholarships to promising PhD students from Global South countries who wish to carry out half of their PhD research at Ghent University ('North') and half at a university in the Global South ('South')....
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PhD Position in Method Development for Peptide Ionization and Fragmentation_3590 Project Description We invite applications for a fully funded PhD position in experimental proteomics. The successful
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pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 19 February 2026 The Role This is an exciting opportunity to develop, manage and deliver the University’s
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=VRczgu0AAAAJ ) and Patric Jannasch (https://scholar.google.com/citations?hl=en&user=OEN-Xa8AAAAJ ). The successful candidate works in a team, but also develops her/his own research approaches and ideas in
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adaptation of the mesh during simulation to resolve and track features in the flow. The focus of your PhD would be on developing novel algorithms to efficiently redistribute and rebalance the parallel
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on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and
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focus on the enhancement of long-term socio-economic developments of cities, how to cope with social inequalities, and how to accelerate sustainability transitions of cities and infrastructures. Research
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PhD: The Urban-Ocean Nexus: Towards Developing Inclusive, Resilient Blue Economy Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36