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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8023-ANTSAI-004/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears
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the Mechanical Engineering department to teach on the engineering degree programme, this covering the core curriculum (first and second years L1, L2) and, potentially, the Master’s programme (M1, M2). He/she will
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oxides, we will first develop and benchmark machine-learning interaction potentials of increasing complexity. Subsequently, we will deploy a combination of brute-force and rare-event sampling to isolate
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Infrastructure? No Offer Description Teaching The successful candidate will teach 64 hours per year to strengthen educational activities in the areas of data science, artificial intelligence, and intelligent
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Institut FEMTO-ST, Université Marie et Louis Pasteur | Ons en Bray, Picardie | France | 2 months ago
waves to design new functionalities on a SAW platform. In addition to the practical learning of thin film growth, characterization and nanofabrication, finite element simulation of SAW devices, the PhD
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 3 months ago
representations (IR) to bridge deep learning frameworks with low-level hardware, ensuring the seamless evolution of existing software infrastructures. Additionally, he will act as a high-level technical expert
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with deep-learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum, the deadliest malaria parasite species (read [1] to learn more about the ideas behind
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
research subject:https://www.defrost.inria.fr/project/horizon-europe-ire-2024-2028/ (project page) and https://www.defrost.inria.fr/research/publications/ (DEFROST team publications) Collaboration
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(https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically meaningful disease endotypes from heterogeneous, multimodal