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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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work actively on the preparation and defence of a PhD thesis in the crossroads between the fields of robotics, signal processing and machine learning The candidate will explore how graph-based
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of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of in-air acoustic sensing and applied machine learning for building the next-generation of intelligent robotic
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KU Leuven has a vacancy at Campus De Nayer for a full-time professor in Intelligent Software, advanced software that combines machine learning and knowledge-based inference. We are looking
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generation of spectroscopic sensors, integrating spectroscopic analysis, machine learning-based data processing, miniaturized sensor development, and industrial validation. As a Technology Expert, you will
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processing, embedded systems, machine learning, and networked communication. Each PhD position corresponds to a dedicated research topic within the consortium. All doctoral researchers will benefit from joint
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successful candidate will join the Security, Reasoning and Validation (Serval) research group and work on a research project related to the application of machine learning for official statistics. The subjects
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autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience
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strong background or interest in one or more of the following areas: computer vision, machine learning, signal processing, and computer graphics. You have good programming skills (e.g., Python, C
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, Electrical Engineering, Aerospace Engineering or a related field, with a focus on Robotic Perception and learning based methods Demonstrated expertise in at least one of the following areas: Machine Learning