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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems
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scientists. This PhD studentship is the foundational computational element (WP1) proposed for a major 8-year project ("The Self-Driving Microscope”). The project’s goal is to build an autonomous, AI-piloted X
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relevant to particle physics and cosmology. The candidate will use formal tools descended from string theory and supergravity, to perform analytical and numerical calculations of observable quantities in new
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
and machine learning. This project also takes place in the PEPR NumPEx, an initiative to improve the use of supercomputers for physical simulations. The results from the PhD will thus be integrated
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A large volume of data are routinely captured in high-performance training and competition environments. Whilst these data have the potential to inform key performance decisions, the full potential performance impact is often not realised. In some instances, this is because the volume of usable...
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Researcher (R1) Positions PhD Positions Application Deadline 20 May 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded
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14 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique & modélisation des milieux condensés Research Field Physics Physics » Solid state physics Physics » Surface
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Ecology, Environment and Geoscience (EMG) at Umeå University is looking for a PhD student in