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mapping technologies. This PhD would particularly suit candidates with backgrounds in: Artificial intelligence or machine learning Computer science Data science or computational modelling Engineering
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. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and
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-preserving dynamical coordinate maps" funded by the National Research Foundation of Korea. The PhD project encompasses both the theoretical treatment and computational studies of classical non-linear transport
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28 Jul 2026 Job Information Organisation/Company UNIVERSITA' DEGLI STUDI DEL SANNIO Research Field Juridical sciences Economics Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Number of awards: 1 Award information: Fully funded PhD studentship covering Home tuition fees and a tax-free stipend. Available to Home fee-status applicants only due to funding structure
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Research Infrastructure? No Offer Description ONE POSITION REMAINING - ONLY PROJECT 5 IS OPEN! Fully funded PhD position in Computational Neuroscience IndiBrain (Characterizing Individual Differences in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) in Computational Imaging Mass
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for the admission to the 42nd cycle (Academic Year 2026/2027) of the PhD Programme in Industrial Innovation at the University of Trento (Italy), in cooperation with the Bruno Kessler Foundation - FBK (Italy
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at the Faculty of Social and Behavioural Sciences has a job opening for PhD candidate. In the position of PhD candidate, you are responsible for conducting original research on computational models of semantic
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. There is also a need for accounting noise in Deep Learning models and quantifying uncertainty in real-world applications. This PhD studentship (scholarship) leverages large-scale Earth Observation data