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Infrastructure? No Offer Description KU Leuven seeks a highly motivated PhD candidate for a fully funded international doctoral position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project TURBO
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machine-learning strategies for multimodal representation learning and for the integration of the complex biological datasets generated within the consortium. Duration and start date: 48 months, full-time
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the academic network working on ecodesign, an international research and training initiative (Horizon Europe MSCA-DN). The network aims to advance digital and ecodesign methodologies that enable scalable
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of many more complex processes that should harbor a wealth of undiscovered druggable targets. Thus, a large space of potential druggable biology is entirely ignored. We aim to fundamentally revolutionize
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of supercomputing. However, these type of simulations have been typically driven by idealized boundary conditions that do not represent the complexity and variety of atmospheric inflows that exist in the field. PHD
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Infrastructure? No Offer Description This PhD position is part of the academic network working on ecodesign, an international research and training initiative. The network aims to advance ecodesign methodologies
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bachelor throughout master. High intrinsic motivation and strong scientific curiosity. Motivation to work with critically ill patients and complex clinical monitoring data. Willingness to participate in
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in mice to complex family interactions in humans. The project consists of two complementary research lines. The first research line builds on an established collaboration between the laboratories
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an independent research line from it.The work is exploratory data analysis in the detective sense: searching complex, multi-modal data for clues, and letting the structure that emerges drive the next question