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of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for a doctor in particle physics with less than two years of experience after the PhD. Experience in machine learning and
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data) will help validate observations and refine predictive models. Automated monitoring tools (scripts, dashboards, alerts) incorporating machine learning algorithms or statistical methods will be
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, accessible by bicycle and benefiting from a car-sharing scheme under a mobility agreement with the Montpellier metropolitan authority. Website for additional job details https://emploi-recrutement.ird.fr/offre
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. Unsupervised machine learning approaches will be used to identifiy key dimensions of circadian rhythm associated with dementia subtypes. This requires a very good level in statistics and R programing as
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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
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to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5797-JERBAU-082/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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ElastoGravity Signals. Journal of Geophysical Research: Machine Learning and Computation, 1, e2024JH000360. https://doi.org/10.1029/2024JH000360 Juhel, K., Hourcade, C., & Bletery, Q. (2024). PEGSGraph : GNN
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
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., Reinforcement Learning in Different Phases of Quantum Control, Phys. Rev. X 8, 031086 (2018). [8] J. Biamonte et al., Quantum Machine Learning, Nature 549, 195 (2017). [9] E. Célanie, L. Delisle, and A. Jaouadi
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modelling (numerical simulations, e.g. matlab or python, or analytical modeling), OR optomechanics, OR high frequency devices. You are eager to learn and expand your knowledge! Basic knowledge of analog and