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of experimental and theoretical physics, synthetic, physical and computational chemistry, material sciences and related areas. The OPTEXC IRTG involves 20 academics in Australia and Germany working in complementary
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 18 hours ago
on any desired physical quantum computer. They have also shown themselves highly useful for optimisation as certain kinds simplifications are easier to perform in one model than another. Yet while
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-vapour experiments, gaining hands-on experience in optical-setup design, III–V semiconductor physics, atomic physics, quantum optics and numerical modelling. The research targets scalable components
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advantages in terms of materials modelling and contact, COMSOL offers the potential to capture a fuller range of physical behaviours. Chiefly, the ability to capture the inertial behaviour of fuel pellet
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18th October 2026 Languages English English English The Department of Physics has a vacancy for a PhD Candidate in AI-assisted medical imaging with MRI Apply for this job See advertisement Are you
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biomedical applications, bringing together specialists from chemistry, imaging, cancer biology, and physics to lay the foundation for imaging-guided pharmacotherapy. What are you going to do? The PhD student
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Our group aims to simulate how stars and planets form and how black holes accrete. I am offering PhD projects in all areas of accretion physics. Possible PhD projects in star and planet formation
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No. 101168344 Position: Doctoral Candidate – full-time, 12-month position Research Target: Trustworthy and Reliable AI for Cyber-physical Systems Deadline: 18 October 2026 Expected Start Date: 1 November 2026 How
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manufacturing process windows for these circular powders using both binder-free and binder-based additive manufacturing approaches, investigating melt behaviour, densification, defect formation, and
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technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining