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, governed by complex neural circuits. As the bladder fills, sensory signals originating from its wall inform the central nervous system about bladder fullness. Disruption of these signaling pathways can
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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-regulatory network analysis approaches, developed and employed in the Malysheva Lab, are required to reveal these mechanisms. With the proposed project we aim to bridge this gap in our knowledge of cis
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-driven approaches to health, society, and policy. BISI combines expertise in epidemiology, biostatistics, health economics, and machine learning to tackle complex societal challenges. BISI is actively
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stimulating and international research environment A strong and dynamic network of international collaborators Primarily based at the VIB-UAntwerp with collaborative visits to the IN Joint supervision by
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, you will leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modeling systems as graphs and encoding nonlinearities in these. As
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environments, as well as chemically and biologically active phases. The goal of the project is to gain fundamental insight into how the structure of these complex materials evolves under working conditions. To
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cell cycle machinery. This project will combine live-cell imaging, phosphoproteomics, and metabolite profiling to unravel the complexity of phytohormonal regulation at the cellular level. Profile
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training programs available through VIB and UAntwerp to broaden your expertise and enhance your skillset A stimulating and international research environment A strong and dynamic network of international
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take part in social and networking activities—all designed to equip you with the knowledge, skills, and connections to confidently launch your PhD journey. Requirements To be considered for a PhD