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forms part of a new interdisciplinary research project at KU Leuven that will use explainable, adaptive and multimodal human-AI interaction methods to let generative AI spark new insights and
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applications for a PhD position in robotics, with a focus on state estimation, localization and mapping (SLAM) in dynamic and uncertain environments. The research will center on the integration of commercially
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bipedal robot that will learn to walk on soft and natural ground, such as sand and gravel. The controller design will include knowledge of the type of ground the robot walks over, and how the substrate
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of their chiral properties, structure and optical properties; both in solution phase and on solid supports; (iii) catalytic and biomedical applications followed by the prototyping of the most promising
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; · Solid background in power electronics and magnetic component design; · Experience with modelling and simulation tools (such as MATLAB/Simulink, FEM software like COMSOL or ANSYS Maxwell
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mechanisms and dynamics Chemistry » Solar chemistry Chemistry » Structural chemistry Chemistry » Computational chemistry Engineering » Chemical engineering Engineering » Materials engineering Physics
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workshops and schools. A dynamic and supportive research environment with strong mentorship. For more information please contact Prof. dr. Mumin Enis Leblebici, mail: muminenis.leblebici@kuleuven.be
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you to apply. The opportunity to work on a challenging and advanced research topic, in a dynamic academic environment, to acquire research and project management skills, to network with leading
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-627 Marie Curie Grant Agreement Number 0 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for 1 dynamic and motivated full-time PhD student
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/she will receive an attractive salary, be provided with their own office/laptop/etc. within the Department of Public Health at KU Leuven and will be part of a dynamic team of young researchers