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both spoken and written is required The candidat must have a Master (M2) of data science, computer science, applied mathematics The position is available starting from October. Salary according
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Electronique embarquée de conditionnement pour électrode de référence dans un accumulateur Li-ion Postdoctoral position in analog embedded electronics and electrochemistry, for Reference Electrode signal conditioning inside a Li-ion battery cell. In the new field of the Reference Electrode (RE)...
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COMMUNICATION AND PUBLIC ENGAGEMENT Active scientific mediation with the general public on viral pandemics will be a core mission from the beginning. This will leverage: • SUNSET program (Sciences with and for
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independent research group in Immunology. The successful candidate will be expected to develop a bold, innovative, and high-impact research program that complements and enhances INEM’s scientific strengths
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to understanding and treating leukemia and it fosters a multidisciplinary and collaborative environment with 16 research groups, 14 clinical services or clinical biology laboratories. The Institute hosts one
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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! Education Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles. Experience and skills Prior experience with
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together world-class researchers from various fields, including neurophysiology, computational neuroscience, auditory cognition, genetics and genomics, cell biology and gene therapy. It is located in
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well as computational modeling. The development and numerical implementation of novel methods has become a key issue in modern oncology, both in terms of understanding the biology of cancers and for medical oncology
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate