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transition. See: https://www.tudelft.nl/en/2026/tbm/tpm-researchers-receive-nwo-kic-consumer-behaviour-for-a-circular-system-transition-grant . The project includes 2 PhD positions, 2 Postdoc positions, and
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degree in a STEM field. You love physics and complex systems and are either familiar with, or very eager to learn about, (road) network traffic flow theory and simulation. You are a machine learning
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 22 days ago
therapeutic use. However, traditional medicinal chemistry often restricts itself to low structural complexity molecules that cover only a small portion of the theoretically accessible chemical space. This
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cells, biomaterials, synthetic biology, DNA nanoscience, polymer gels, systems chemistry, enzymatic reaction networks, cell biology, biointerfaces, mammalian cells, tissue-like systems, cell spheroids
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capillary pressure and hysteresis in multiphase flow, and the complex phase behavior of multicomponent mixtures described by realistic equations of state. Achieving this goal requires an integrated approach
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of the topic to quickly gain ground. For excellent candidates, we will pursue an association to the Max Planck Graduate Center to provide you with the widest interdisciplinary networking and career-development
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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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for Systems Analysis and Architecture (LAAS) within the MechaBioFluidics team, which has extensive expertise in microfluidics and microfabrication (a technology platform of the national ReNaTech network), in
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the context of a PEPR project, in collaboration with eight CNRS and CEA laboratories working on the future of electrical grids. More specifically, it is linked to WP5, dedicated to cybersecurity and network
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biological data are increasingly common in modern biomedical research but remain challenging to analyse because of their scale, heterogeneity, and complex spatial and functional dependencies. Existing methods