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remain disproportionately understudied, leaving a critical knowledge gap in our understanding of complex pollination networks. This project aims to bridge this global knowledge gap by developing and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 9 hours ago
macromolecular complexes (~5.5 billion frames) [1], and the first MDDB node in France ComPASS, a graph-based method for identifying communication networks in protein–protein and protein–nucleic-acid assemblies [2
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We are looking for a talented and motivated candidate to join our new MSCA Doctoral Network: VISIONBRAIN - Cutting-edge Human In Vitro And In Silico Biomedical Tools On Brain Disorders. This EU
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candidate will participate in the EU-funded HORIZON-MSCA-DN-2024-01 project LipAgg. The LipAgg network brings together partners from five European countries and comprises nine academic institutions and twelve
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Offer Description Global supply chains are large, complex networks that are typically opaque even to the firms that operate within them. A firm generally has visibility only to its direct (tier-1
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
letter, and two reference letters through the IMDEA Networks Institute hiring portal, at: https://careers.networks.imdea.org/ Publications relevant to the position: [A] M. Stute, F. Kohnhäuser, L
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proficiency in Python. Knowledge in Statistical physics and Network science, and interest in complex networks and interdisciplinary research are a plus. The position is for 3 years, and will be located
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(matthias.hollick@networks.imdea.org ). Candidates shall submit by the call deadline a CV, a motivation letter, and two reference letters through the IMDEA Networks Institute hiring portal, at: https
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-organizing solutions for the efficient management of computing infrastructure based on the Cloud-Edge Continuum (CEC) concept. As 6G networks evolve, managing the complexity of distributed computational
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scientific problems involve complex physical phenomena that are difficult—and sometimes impossible—to reproduce experimentally. Moreover, experimental campaigns are often costly in time, resources, and