58 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions 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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processing, neuromorphic engineering, or a closely related field. A solid background in machine learning is expected, with interest or experience in spiking neural networks, temporal modeling, or bio-inspired
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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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interactions with local centres of excellence in artificial intelligence, machine learning, applied mathematics, and computational sciences Application Procedure We accept applications from students of any
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is accessible online: https://www.tec21.fr/phd-tec21 What we offer : 7 fully funded PhD positions with employment contract, competitive salary (monthly estimate net salary between 2 050 and 2 150 EUR
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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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2026. The interested individuals are expected to fill in the following form: https://form.jotform.com/260435174909360 . They will be able to upload the requested documentation directly on the form (as
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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