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Modelling, Applied Statistics, Linguistics, Data Analysis, Large Language Models, Machine Learning. Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding towards
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2 Apr 2026 Job Information Organisation/Company Hasselt University Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026
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efficient interpretation of LiDAR data. The project will make use of high-performance computing facilities to support large-scale simulations and ensemble-based uncertainty quantification. A key innovation of
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At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in
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a PhD member of WWSC, you will have access to a large research network across major universities in Sweden (KTH, Chalmers and Linköping University). In addition, you will become part of the WWSC
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is internationally recognized, with interests spanning a broad range of areas - including statistical machine learning, high-dimensional data and big data, computationally intensive inference
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deadline The application deadline has not yet been determined. Please check our website (www.ec2-big-nse.de ). Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 11 days ago
individuals to undertake large-scale paleoepidemiological and phylogenomic investigations. In this context, this PhD project will focus on the analysis of ancient DNA virus genomes to reconstruct past viral
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. This PhD project puts you at the frontier of detecting such transitions in time series, drawing from original data from soil and agriculture, as well as geohazards. The project Although difficult to describe
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the Marie Skłodowska-Curie Grant Agreement No. 101227219, at Build to Zero R&D department, we are seeking a candidate for a PhD position to research large-scale energy storage technologies, specifically