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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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will explore how semantic digital twins can automate the generation of control-oriented models and how LLMs can facilitate natural language interaction with complex building management. The developed
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toxicity predictions. Must have familiarity with data generated by cell screening assays, cell painting, and cheminformatics. Must have experience in research software development, FAIR data/open science
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excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https
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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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being reachable within an hour train ride). Website: https://www.iemn.fr/la-recherche/les-groupes/physique/nanostructures-qu… In the digital age, the energy consumption of microelectronic devices presents
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the laboratory at the Géosciences Rennes site (Rendal platform); - chronological modelling using software developed in R language. This work will be carried out in close collaboration with other PhD students in
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, numerical methods, or Geant4 / Monte Carlo simulations. Proven experience in scientific software development using C/C++, Python, MATLAB, CUDA, and/or other relevant programming tools. Demonstrated ability
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extreme time constraints. Develop a path generation system that globally optimizes the throughput of the system. The system must be able to generate paths in a tight time-window. The exact focus of the PhD
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minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our