1,436 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"VUB" PhD positions
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured environments where terrain can change abruptly. However, formally certifying these opaque...
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8th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in AI-Assisted Software and Systems Engineering Apply for this job See
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PhD Studentship: Fully Funded PhD Studentship in Cardiovascular Science: Extracellular vesicles in cardiovascular diseases Hypertrophic cardiomyopathy (HCM) is a common inherited heart disease and a
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Advances in manufacturing science have resulted in unprecedented research and development in the design of ‘micro-swimmers’: microscopic entities that navigate fluid environments by converting some
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Are you interested in using data science to understand how digital measures can capture clinically meaningful aspects of reward, motivation and impulsivity? Do you want to develop and apply
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your programme of study: search for the ‘Course Title’ using the programme code: “8100F” select ‘PhD Chemistry (full time) - Chemistry' as the programme of study You will then need to provide
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Role Description This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University
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7 Oct 2026 Job Information Organisation/Company Université de Namur Department Chemistry Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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Department: Konstantinos Tripsianes Research Group – Central European Institute of Technology Deadline: 23 Dec 2026 Start date: Immediately or upon agreement Job type: full-time Job field: Science
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide complementary information on 3D structure (GEDI lidar, BIOMASS P-band radar, NISAR L-band radar) and high...