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auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
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, and/or multiphysics modelling • Mathematics & AI: Numerical analysis, inverse problems, neural networks, scientific machine learning • Programming: Python (scientific computing, ML), preferably C
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Skills :Programming, Research Knowledge :IA, Deep Learning, Python Where to apply Website https://rubis.univ-spn.fr/offres/voir/206 Requirements Specific Requirements Be a graduate of an Engineering
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experience (perception, prediction, planning/control integration) Proficiency in Python and modern ML tooling is expected, along with familiarity with a quantum SDK (e.g. Qiskit). 5 How To Apply Interested
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team. Proficiency in programming languages (Python, R, etc.) and a good command of English (both written and spoken) are required. Additional Information Work Location(s) Number of offers
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protocols (Python or dedicated software). You will join the NanoBioSurf team within the Laboratoire de Réactivité de Surface (LRS), as part of a CNRS prematuration program. This project aims to develop a
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 3 months ago
, or a related field. Ability to develop code or take ownership of existing codebases for experimental evaluation. Good programming skills in Python and familiarity with experimental workflows for large
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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level
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) Autonomy, rigour and organisational skills Creativity, adaptability and dynamism Advantages Skills in data ingestion, transformation and storage Proficiency in programming languages (Python, R) Skills in
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for interdisciplinary research at the interface between algorithms and hardware, as well as the ability to work both independently and within a research team. Proficiency in Python programming (e.g., PyTorch