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development, model training, test rig set-up, and experimental validation. Job Requirements: The candidate must at least have a PhD Degree in AI, Robotics, Automation, Mechanical Engineering, Control
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personalized annual training program for PhD students called SHARP (Severo Ochoa PhD Training Program), which occurs over two weeks each academic year, and focuses on their specific PhD year. Opportunities
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properties Regeneration strategy: Define optimal thermal or vacuum regeneration conditions to ensure the sustainable and economic viability of the process. Candidate profile: PhD in chemical engineering
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expertise and approach align with these values. The successful candidate will have: a PhD in Mechanical Engineering, Computational Engineering, or a closely related discipline a strong background in
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• Applicants should have a PhD degree in civil or mechanical engineering or related disciplines • Possess fundamental knowledge in fatigue and fracture, structural integrity assessments and data driven
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Fixed-term: The funds for this post are available for 12 months in the first instance. The successful candidate will be based in the Department of Computer Science and Technology and will join the
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University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture | Croatia | 12 days ago
, Power Engineering and Energy Management Chair Research Field Engineering » Mechanical engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 4 May 2026 - 23
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expertise in optimisation; Computer Science, with expertise in design and analysis of algorithms and high-performance (GPU) computing; Industrial and Systems Engineering, with AI in process mapping and Conops
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degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of
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. The successful candidate will take forward their own programme of transformative research in the engineering and applications of novel biomedical sensing technologies that are underpinned by state-of-the art