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. You have excellent computer science skills (python, git, linux, ROS, etc.) . You have hands-on experience with machine learning frameworks such as PyTorch. You have strong analytical skills to interpret
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into demonstrators for robotic manipulation applications. You will collaborate with researchers working on flexible electronics, sensing systems, machine learning and robotics, and disseminate your results through
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for robotic manipulation applications. You will collaborate with researchers working on flexible electronics, sensing systems, machine learning and robotics, and disseminate your results through scientific
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Industrial Engineering and Operations Research. Good technical knowledge of probabilistic models and machine learning Basic knowledge of quality management in the manufacturing industry (e.g., SPC, FMEA, HACCP
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validate innovative methods for mapping soil compaction at the field scale by combining remote sensing, proximal sensing, and field measurements. You will develop and optimize machine-learning models
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strong background in wireless and mobile networks, as well as machine learning, ideally with exposure to Reinforcement Learning (RL) or decision-making agents. You have an interest or background in network
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video recordings, and editing Working out strategies to scale up on-line computer labs, examinations, … Interaction with partner organizations for possible synergies (e.g. IMEC, Photondelta) In addition
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, and editing Working out strategies to scale up on-line computer labs, examinations, … Interaction with partner organizations for possible synergies (e.g. IMEC, Photondelta) In addition, your work would
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20 Jun 2026 Job Information Organisation/Company Ghent University Research Field Engineering » Computer engineering Engineering » Electrical engineering Engineering » Other Researcher Profile
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vision models for automated performance assessment and feedback. Ultimately, this research will contribute to the creation of scalable, data-driven training programs that enhance surgical performance