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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Tremblay en France, le de France | France | about 2 months ago
on advancing the understanding of lanthanide and actinide materials and developing synchrotron-based methods for selective rare-earth recovery from nuclear and industrial waste in collaboration with six European
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collaborations to implement cosmological analyses derived from the observation of Type Ia Supernovae. This work, carried out within the framework of the ANR SCINF project, aims to develop inference methods based
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appreciated skills: - experience in conducting complex experimental work with Electric applications and/or Cryogenics, - numerical Modelling skills Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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. Numerous logistical and ethical difficulties hamper the implementation of clinical trials and the generation of evidence on effective interventions, leading to non-standardized and sub-optimal care
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development remains limited by the difficulty in obtaining crystals with high structural quality, specifically with a stacking fault density below 500/cm². The Travelling Solvent Method (TSM), which uses a
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experimental methods are available and currently fully operational in the laboratory. Collaborative Environment: Centrifugal instabilities are not limited to magnetized plasma columns in the laboratory but also
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, - preparing research projects (ANR, PEPR, Europe, etc.), - producing scientific publications, - developing innovative methods and tools. Time dedicated to these activities is expected and recognized as an
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research will benefit from appropriate analytical support to characterize the products using the numerous methods developed at the LRGP (micro-GC analysis, online mass spectrometry, atomic composition
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microscopy), and energetic (combustion rates, ignition energies via Langlie method) analysis, and (iii) numerical modeling of combustion phenomena, with experimental validation