22 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Nature Careers in France
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking
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, including machine learning and language technologies, for the integration and analysis of clinical, advanced data harmonisation, and next generation research infrastructures. You will contribute to research
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ICT Services & Applications. Your role This position sits at the interface of machine learning, uncertainty quantification and computational biomechanics. You will work within the Legato group and in
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, proteomics, metabolomics), Capacity to develop and/or apply : Statistical or mathematical models Machine learning / AI methods Systems biology modeling approaches Research position The fellow will conduct
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), combining state-of-the-art in vivo approaches with quantitative data analysis. About the lab and environment The Rebola Lab (https://therebolalab.org ) studies how variability in synaptic function across
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attendance and collaboration with other research organisations. Scientific contact Prof Dr Gunnar Dittmar gunnar.dittmar@lih.lu More information about the groups can be found here: https://signaling.lih.lu
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this website: http://www.crypto-uni.lu/vacancies.html Your profile A PhD degree in cryptography Competitive research record in cryptography Fluent written and verbal communication skills in English are mandatory
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role The University of Luxembourg (UL) invites applications for a postdoctoral researcher position within the Department of Computer Science (http://dcs.uni.lu ). The candidate should have a research
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.) The selected candidate will join INFINITE (https://lille-inflammation-research.org/en/ ), an international research unit studying inflammation from its origins to its complications to develop new therapeutic
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. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and