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We are offering a fully funded PhD position with a duration of four years for a motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial
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problems that are not real) and false negatives (missing real issues). This PhD project aims to improve this situation. Our ultimate goal is to develop automated tools that support human analysts while
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, necessitating advanced modeling and simulation techniques to analyze and address these issues. Research field: Production and materials engineering, robotics, transport and logistics Offered by: School
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opportunities within ScaDS.AI. Tasks: foundational and applied research in LLMs for traffic engineering, with particular focus on mobility knowledge benchmarking, simulation of human mobility behavior, simulation
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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into open-source automated driving stacks. Conduct simulation-based and experimental validation campaigns. Publish results in peer-reviewed journals and conferences. Requirements a degree in engineering
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PhD: Systematic Exploration of Robot Behaviours for Manufacturing Tasks to Automatically Discover Failure Scenarios EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering
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prototypes on TalTech’s autonomous shuttle (iseAuto) and support fleet-wide simulation scenarios. Applicants should fulfil the following requirements: a degree in engineering sciences (preferably in computing
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» Materials engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Belgium Application Deadline 31 Oct 2025 - 02:30 (Europe/Brussels
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Supervisors Primary Supervisor - Dr Calum Williams Secondary Supervisors - Dr. Maciej Dabrowski , Prof Simon Horsley This PhD studentship will develop 3D-printed optical metamaterials to control