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letter - academic transcripts for Master 1 and Master 2 (or equivalent) - the name and email address of two references. An initial selection will be based on the evaluation of the submitted documents
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of complex coacervate core micelles. The latter will be prepared and characterized thoroughly both in bulk and at the interface using scattering techniques and cryo-transmission electron microscopy in
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, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to apply
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8029) bringing together researchers, engineers and doctoral students across a broad spectrum of electrical engineering topics, including electronics, electrical energy systems, signal processing, and
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efficiency Optical neuromorphic computing is emerging as a promising alternative to classical electronic architectures, offering advantages in terms of speed, energy consumption, and parallelism. Nonlinear
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Jupiter's polar regions using computer simulations. The core of the project consists of coupling a photochemical model (developed and used in numerous planetary applications) with an electron transport model
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PhD student at ILL: studying In situ neutron diffraction for green steel and functional metal oxides
include oxides of chromium, iron, tungsten and the strongly correlated electron systems in SrFeO3−𝛿, LaNiO3 and SrRuO3. In situ neutron diffraction will allow to extract structural details including oxygen
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application must include the following documents: A CV A cover letter Please send your application at the following email addresses: gilles.subra@umontpellier Application deadline: Before 20 May 2026. Work
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SD-25045 – PHD IN HONG-OU-MANDEL INTERFERENCE AND ENTANGLEMENT WITH COLOUR CENTRES IN SILICON CAR...
formally through the HR system. Applications by email will not be considered. Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as
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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates