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Application deadline: 31/05/2026 Research theme: Metallic materials How to apply:https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD project is fully funded and home students are eligible
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. Each year, our Bachelor’s, Master’s, and PhD programs graduate a large number of students, and we maintain strong collaboration with industry through services in simulation, modeling, and process
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What you'll receive You'll receive a stipend scholarship of $32,500 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. This is the full-time, tax-free rate. If you're
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existing benchmarks rely on open-loop evaluation and fail to capture closed-loop interactions between a vehicle and its environment. This PhD project focuses on evaluating VLA models using closed-loop
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posted here will be among the first ones to start in the centre. Please see the centre’s website: Future Aluminium Structures (FAST) - NTNU PhD Position 1: Modelling Plastic Flow and Fracture in Recycled
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Researcher (R3) Leading Researcher (R4) Positions PhD Positions Application Deadline 24 Mar 2026 - 00:00 (Europe/Monaco) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 23
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 26 days ago
to intertwine a multi-contact whole-body controller, a digital simulation of the interacting humans, and machine learning models to predict and respond to human movements and intentions. In a crescendo of
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related to staff position within a Research Infrastructure? No Offer Description A PhD research position is available at KU Leuven, Department of Electrical Engineering (ESAT), division Processing Speech
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modelling, learning-based reconstruction and classification algorithms, enabling joint optimisation of optics and data processing. We are looking for an excellent PhD candidate in photonics (48-month duration
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recommend that you apply early as the advert may be removed before the deadline. This fully funded PhD position, offers an exciting opportunity to develop and optimize multiscale models for surfactant