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research group of 6 permanent staff members, 3 PhD students and 2 non-permanent researchers within the Electronics team. He/she will also collaborate with other teams on campus, in particular the CIMAP
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has a strong societal impact ambition and requires particular care to protect intellectual property, while maintaining a collaborative research approach within a network involving other academic and
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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Information Eligibility criteria Applicants should hold a PhD in theoretical chemistry, physics, materials science, or a related field; -demonstrate strong expertise in machine learning (regression, neural
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Required knowledge: - Degree: PhD, Engineering - Continental biogeochemistry - Environment and professional networks - Organization and functioning of higher education and public research - Language: English
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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, experimental facilities, and scientific network of the laboratory. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8213-ZHUCHE-001/Candidater.aspx Requirements Research FieldEngineeringEducation
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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of Research ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria You have a PhD in inorganic chemistry or equivalent and possess the following