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Application deadline: 30.04.2026 Estimated date of the contest settlement: May 2026 Envisaged job starting date: tbd Period of employment: 24 months The competition is open to each candidate who meets
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tap density and material quality. Develop an advanced optimization and sensitivity analysis framework for accurate parameter estimation. Produce research publications in high-impact journals and
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optimising membrane parameters. Laboratory experience in analytical techniques related to materials characterization and membrane processes application. Knowledge in environmental sampling and the impact of
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on reinforcement learning to optimize cooling and trapping parameters using real-time feedback for the Rydberg atom experimental platform. Enhance holographic methods for optical tweezers with generative models and
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20 Feb 2026 Job Information Organisation/Company Université de Pau et des Pays de l'Adour Department SIAME Research Field Engineering » Computer engineering Physics » Computational physics
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the MHCG VCSELs. • Computer simulations of various versions of MHCG VCSELs in different material systems, • Designing the precise implantation parameters by using Stopping and Range of Ions in Matter
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astrophysics that can directly take raw, high-dimensional data from experiments or observatories and rapidly infer theory parameters, such as Higgs boson properties at the Large Hadron Collider or neutron star
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/ ) – an European network of excellence in AI, Machine Learning (ML) and Computer Vision (CV), of which Vittorio is a Fellow member. For this particular position, the focus is on investigating AI approaches
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) for dynamic systems with unknown but measurable performance functions. Experience in system identification and online time-varying parameter estimation algorithms. Programming skills in MATLAB/Simulink, C/C
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, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g