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towards deep, large-scale analyses of STM evolution and action. The focus will lie on a range of arthropods, molluscs, and chordates, with the aim to uncover universal STM design principles as
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excellence in medical anthropology research and teaching, and a hub for collaboration and methodological innovation on health-related topics at the intersection of science and society. We are a close-knit
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challenges. Designing the next generation of aircraft, spacecraft, and propulsion systems requires numerical simulations that are both more accurate and computationally more demanding than ever before. While
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Jurassic carbon-cycle dynamics in order to disentangle the secular evolution of Jurassic carbon-climate interaction during rapid icehouse–greenhouse transitions. We propose to reconstruct pCO₂ across
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strong interest in the design and operation of laboratory-scale bioreactors. An independent, self-motivated, and curiosity-driven mindset. Strong analytical skills combined with a scientific mindset and a
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). The heart of this project is to understand how tumor cells interact with their microenvironment, how drugs disrupt those interactions, and answering those questions by developing computational tools. This is
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robot capabilities, dynamic constraints, contact-rich interactions, perception limitations, and high-level human guidance. A key objective is to bridge high-level task planning with the physical
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-wide traffic prediction Design physically consistent and interpretable machine-learning methods for dynamic traffic systems Test and validate prediction models using large-scale real-world traffic data
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the experimental lab (https://www.mathbioleiden.nl/software.html#virtualleaf ). Incorporate detailed insights into the model of the mechanical properties of cell walls based on experiments and small-scale
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, and companies across the value chain of biomass. In this PhD project, you will develop state-of-the-art methodologies to: Design and scale up novel processes for the valorization of low-grade biowaste