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status will have to be deciphered, i.e., to determine whether in addition to being a predictive marker, CDA could be a prognostic marker of relapse. The candidate will be asked to develop specific PK/PD
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resources may be provided by the Jean-Zay supercomputer. Large language models (LLMs) and deep contextual embeddings (i.e., BERT and its variants) are trained on large corpora, usually extracted from various
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-resolution reanalyses). Once statistically calibrated, this relationship will be applied to large-scale predictors from climate models (ESMs) to generate regionalized simulations (i.e., at finer resolution
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, studies, etc.) in France (the country of the host organisation) for more than 12 months in the 3 years immediately before the recruitment date (i.e., the start of employment). Eligibility conditions
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for the HL-LHC experiments. This includes the rewriting and rethinking the algorithms to be run on heterogeneous platforms, i.e. systems where a traditional processor (CPU) is coupled with an accelerator (e.g
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of economically viable elements (i.e., He, H) within geothermal systems. Supervisors: Raphaël Pik (CNRS – Université de Lorraine, [email protected] ), David Bekaert (Université de Lorraine) Co
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Post-Doc- Combinatorial deposition of functional thin films by Spatial Atomic Layer Deposition (M/F)
focus on the development of our SALD system hardware and software towards a combinatorial deposition, i.e. where a gradient of properties will be present in the deposited films. He/she will be focused
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) of passive resonators (consisting of simple suspended layers) in static and dynamic modes, i.e. frequency response of the vibration amplitude and dissipation, will lead to the estimation of the mechanical
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/Qualifications Solid demonstrable scientific expertise (i.e. published international articles), experience in analysing and modelling rhythmic movements in a social context, extensive programming and data
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well as participating in the various project’s meetings. Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent Skills/Qualifications skills: Solid demonstrable scientific expertise (i.e. published