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trigger reconstruction architectures for future particle collider experiments, based on deep learning models distributed across multiple hardware processing stages. The mission of this position, based
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 29 days ago
. The use case is a electrical substation implementing a process bus architecture conformal with IEC 61850 specifications. This includes redundant PRP (Parallel Reduncdancy Protocol) network architectures
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-source modeling and verification environment based on UML/SysML. This software is used to quickly explore the design space and test different architectural solutions. Finally, LabSoC collaborates with
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data (VCF format) ● Develop and benchmark a new Neural Network architecture mixing random and fixed effects (Mixed Effects Neural Networks, MENN) on sequencing datasets (WES/WGS), starting first from
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Université de Bordeaux / University of Bordeaux | Villenave d Ornon, Aquitaine | France | about 2 months ago
or equivalent Skills/Qualifications Holder of a PhD and have already worked in plant or tree population genomics, you have very good knowledge: in population genomics, in genotype-environment association genetics
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of Strasbourg with complementary expertise (“Synthesis and Functions of Molecular Architectures” (SFAM), UMR 7140 – CMC; “Energy and Fuels for a Sustainable Environment” (ECED), UMR 7515 – ICPEES
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within the team. Finally, you must be fluent in English in order to thrive in an international environment. You hold a PhD or equivalent. Your level of English is professional. Why join us? You'll be
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. - Knowledge of programming techniques (C/C++, Python, Bash) in a Linux environment. - Knowledge of a version control tool (gitlab). - Knowledge of software architectures. - English (level C1). Skills: - Conduct
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into district heating networks (DHN), and to study the architecture, sizing, and control strategies for its optimal integration into such networks. Currently, sensible heat storage remains the most widely used
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developing more complex coupling schemes. The aim is to improve the prediction of natural resources in sedimentary basins. The PhD must have been awarded no more than three years before the start of