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Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The work will take place in CPT's Particle Theory team of which the lattice QCD
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ICFO is offering a PhD position to a highly motivated student who wishes to start his/her scientific career in a friendly and stimulating environment. The successful candidate will be joining
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emitters mediated by cavity photons and to reveal phenomena such as superradiance and subradiance, which have never been observed in the context of lattice quantum electrodynamics. This PhD thesis is part of
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25 Mar 2026 Job Information Organisation/Company CNRS - University of Lille Department Laboratory PhLAM Research Field Physics » Optics Researcher Profile First Stage Researcher (R1) Positions PhD
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such as gap solitons and synchronized arrays of photonic resonators. This PhD thesis aims to investigate both numerically and experimentally the emergence of nonlinear phenomena in a unique lattice of
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:Combinatorics, Probability Theory, Algebra, Complex Analysis Where to apply Website https://rubis.univ-spn.fr/offres/voir/220 Requirements Specific Requirements PhD Additional Information Work Location(s) Number
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 23:59 (Europe/Brussels) Country Czech Republic Type of Contract Temporary Job Status Full-time Hours Per Week
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: Project Scientist Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: https
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 2 months ago
materials based on Sn epitaxial lattices. For this experimental project, the PhD student will study theSn growth and structure, using scanning tunneling microscopy and surface X-ray diffraction on synchrotron
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performing theoretical DFT calculations for solid-state systems and lattice dynamics calculations applying machine learning techniques to predict the solubility of pharmaceutical cocrystals supervising and