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. Require skills The candidate should have strong expertise in cybersecurity and/or machine learning/deep learning, particularly in representation learning. Proficiency in Python programming is expected
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and Software Engineering skills (Python, Git, Software Architecture Design) • Data science skills • Machine learning skills • English speaking and writing skills References [1] Samia Benferhat
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radiochemistry which will provide the candidate with a unique set of skills towards the end of the PhD. References [1] Pharmaceutics, vol. 16, p. 906, (2021) [2] AIP Advances 11, 040701 (2021) [3] https
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) • Solid programming skills (Python, PyTorch or similar) Highly valued: • Knowledge of one or more of: federated learning / distributed systems, privacy-enhancing technologies, cryptography, cybersecurity
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). Require skills Strong background in communication networks and wireless/satellite systems; Knowledge of machine learning and optimization techniques; Experience with simulation tools (Python, MATLAB, ns-3
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stakeholders. Required profile The candidate is expected to: • understands the inner working of energetic systems • knows about optimisation technics • be familiar with Python programmation language • possess
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-atlantique.fr) and Associate Prof. Christophe LOHR Keywords: Conversational Agent, Debate, Argumentation, Knowledge graph, Generative Neural Networks, Mental health preservation Where to apply Website https
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Vision, Thermal camera, Human movement quality assessment, Functional Capacity Evaluation Where to apply Website https://imtatlantique.fillout.com/mscapf2026 Requirements Research FieldComputer
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Website https://imtatlantique.fillout.com/mscapf2026 Requirements Research FieldComputer science » 3 D modellingEducation LevelPhD or equivalent Skills/Qualifications Background: Robotic control, Robotic
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de Rennes 1. [2] Brunia, C.H.M. (1999). Neural aspects of anticipatory behavior. Acta Psychologica, 101(2-3), 213-242. Available at: https://www.academia.edu/60694352