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PhD student position on Optical Control over Topological Phases of Matter (ERC Starting Grant) Starting April 2026 (or as agreed) The newly-established “Quantum Opto-Electronics” research group
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, the Biomechanics Laboratory at the Chair of Trauma Surgery was founded and equipped with state-of-the-art technology. The aim of this research laboratory is the experimental analysis and numerical simulation
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) degree in nanophotonics, EUV technology or related field Familiarity with Maxwell’s equation, nanophotonic simulations and optical measurements Good written and oral communication skills Proficiency in
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contribute to various aspects: - setting up the optical implementations of new concepts - testing and validation of new experimental set-ups - pilot/simulation programming - characterisation of various samples
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Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=9558793f7… Requirements Research FieldBiological sciences » Biological engineeringEducation LevelPhD or equivalent Skills
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10 Mar 2026 Job Information Organisation/Company Sorbonne University Department LIP6 Research Field Computer science » Other Engineering » Electrical engineering Physics » Optics Researcher Profile
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
: UBC Vancouver Campus - Vancouver, BC, Canada Time type: Full time Job Title: Research Associate - Ultrafast Optical Spectroscopy Department: Research | Quantum Matter Institute | Faculty of Science
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simulations Keywords: bioreactor, CFD, Eulerian modelling, Lattice-Boltzmann Method, Doppler velocimetry, optical probes Academic supervisor Dr. Frédéric AUGIER, IFPEN Doctoral School ED162 MEGA, Université
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variety of content such as advertising copy, website messaging, magazine articles and speeches. The ideal candidate can adjust their writing style for diverse audiences and has a sharp eye for detail when
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datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement learning and valuation, risk and uncertainty, confidence and