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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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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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Leuven for doctoral studies.• produce a complete and acceptable doctoral thesis proposal.• conduct this study autonomously under the guidance of the supervisors, and in collaboration with a postdoctoral
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-class academic laboratory and the opportunity to interact with several highly collaborative, world-class investigators part of this program. Possibility to interface with and influence kidney cancer
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environmental factors. To address these challenges, we have developed a preclinical rat model to monitor structural and functional connectivity as well as neuroinflammation non-invasively over several weeks using
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, paleoecological or paleoclimatological research. You have a keen interest in in paleoclimate-biosphere interactions, micropaleontology and geochemistry You are proficient in English Earlier experience with organic
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English (written and verbal communication) for scientific interactions required (language requirements by the respective host university). Self-motivated, passionate and great interpersonal skills. With
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mechanisms and dynamics Chemistry » Solar chemistry Chemistry » Structural chemistry Chemistry » Computational chemistry Engineering » Chemical engineering Engineering » Materials engineering Physics