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scenarios for possible « hydrogen » systems in the basin. This will be done using a prototype version of the TemisFlow commercial software developed by IFPEN. - The first part of the work will consist of a
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corresponding software (MIMICS, VG Studio, etc.) - English level C1/C2 - Good experience in writing scientific articles for a specialized audience - Good initiative and attention to detail expected - Independent
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the search for LLP generating displaced activity in the ATLAS calorimeters in association with a quark top. In addition, you will play a key role in the development of data analysis software for LLP searches
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management and territorial planning. - Proficiency in GIS tools (QGIS). - Strong knowledge of spatial modeling tools, software, and programming languages, particularly Python. - Language skills: Proficiency in
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)) projects, funded and/or accredited by the Mission pour les Initiatives Transverses Interdisciplinaires (MITI) of the CNRS. The work could lead to the development of a software suite for simulation and data
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interaction mechanisms within existing samples, thereby providing a theoretical basis for experimental observations. On the software side, he/she will have access to in-house calculation codes for solving
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, and balanced detection outputs, integrated on a silicon chip. The post-doc work will focus on the design and simulation of the devices using finite element simulation software. The physics
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the detector's data reconstruction, in particular the adaptation of the reconstruction software for atmospheric and beam neutrinos, as well as in oscillation analyses. Travel expenses to Japan (in particular
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ÉCOLE DE L'AIR ET DE L'ESPACE | Salon de Provence, Provence Alpes Cote d Azur | France | 3 months ago
traitement de données (Stata, R, Matlab …) PROFILE / SKILLS REQUIRED PhD in the relevant scientific field. Experience of quantitative economic analysis. Good knowledge of data processing software (Stata, R
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the techniques to other type of datasets. Your role will encompass two key areas of development: 1. Extend and automate the current AI Software Infrastructure o Implement and optimize MLflow for experiment