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methods Excellent programming skills and familiarity with modern deep learning frameworks Strong interest in interdisciplinary research, and the ability to engage meaningfully with collaborators from
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-source tools and has a long history in coupling natural language techniques and knowledge graphs. The R&D programme for that position includes several tasks: Generalize and abstract the bot from specific
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, will coordinate the department's medical domain and will work closely with study programme directors, clinical partners and university management to align and consolidate existing and future medical
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orthogonal random directions. Mathematical Programming, 199(1):1179–1219, 2023. • J. Bolte, E. Pauwels, S. Vaiter. Automatic differentiation of nonsmooth iterative algorithms. NeurIPS 2022. Candidate Profile
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, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an
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datasets [10, 11]. It will also be tested on the autonomous vehicles of the ACENTAURI team. 3 Work Plan The work of this postdoc includes: - Studying the state-of-the-art of LiDAR-camera fusion and VLM