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communications at international conferences • Organization of a Summer School, particularly for Enlight network students • Creation of educational content adapted to foreign students (videos
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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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, or the misinterpretation of some inputs to result in a particular behaviour that is favourable to the attacker. In this thesis, the PhD candidate will first study the impact of decentralizing ML algorithms
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; developing our partnership programme with industry; contributing to a quality management system; and the organization of webinars and other dissemination activities, including publications. Support from
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Independent supervision of students and doctoral candidates Support in the further development of the Bachelor en Formation Pédagogique program and in the expansion of networks with stakeholders and partners
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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? Are you our future colleague? Apply now! Required Qualifications Master degree or PhD in Computer Science or related topic in the sectors of Smart Cities, AI/Robotics, Computer Science, Urban Systems
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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
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-matter interactions, optical manipulation and computational modeling to transform innovative ideas and concepts into cutting-edge instruments and methodologies. Our RDI portfolio encompasses all levels