94 experience-design-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" PhD positions in France
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electrical/electronic engineering, computer engineering, computer science, physics, or related fields Experience with emerging memory devices A strong electronics background, including experience in
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design and training of neural networks Practical experience in FPGA development or embedded hardware design, including HDL (VHDL/Verilog) or high-level synthesis (HLS) tools Proficiency in programming
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for dedicated implementations of latent reasoning. These investigations will be grounded in hardware through co-design of neuromorphic hardware to improve accuracy, latency, data efficiency, and energy
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merging for efficient semantic segmentation. In: Proceedings of the 21st International Conference on Computer Vision Theory and Applications (VISAPP), pp. 43–54. (2026). [2] Sassoon, J., Szczepanski, M
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and develop novel methods to improve their temporal representation learning and downstream regression performance. The goal is to design more flexible temporal modeling strategies and improved
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a Master's program (M2) or an Engineering School (including gap year students). • Practical experience in robotics, specifically with ROS2 knowledge. • Strong skills in computer vision and machine
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Your Job In this interdisciplinary Master project, you will design, model, and simulate cryogenic control electronics for scalable electron-spin qubit systems. The core challenge is enabling multi
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foundation models and representation learning Design reproducible data and experimental workflows for model training, adaptation and evaluation on selected EO applications Investigate MLOps pipelines
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production of high-quality scientific articles Close cooperation with an interdisciplinary team of neuroscientists, computer scientists and clinicians Your Profile Excellent university degree (Master) in
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) models of the separator dynamics as fast virtual training environments Formulate the control problem and design reward functions for operating objectives such as throughput and separation quality