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agents, which are effective but pose significant environmental concerns due to their high global warming potential and their classification as PFAS, now subject to strict regulations. In this context
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primarily focus on one or more of these parts. The successful candidate will develop numerical tools and/or theoretical models to model and simulate the behavior of a group of agents capable of chemical
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deep learning models, and in particular large language
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Description The researcher will use modeled surface ocean microplastic abundances and improved sea-spray-based emission functions to represent ocean–atmosphere transfer processes. Using the GEOS-Chem global
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-frequency signals, which largely come from thermal variations at the ocean floor related to the circulation of water masses. 2. Apply fine physical models in order to better understand, characterize and
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at the interface of materials chemistry, nanotechnology, and oncology. The project, NANOZEOXY, focuses on the design and development of nanosized zeolites as advanced carriers of oxygen and contrast agents
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Description You will: * Lead MEG head-cast data collection for a visuomotor reaching/interception study, ensuring robust synchronization with video-based kinematics and eye-tracking, and enforce rigorous
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of the ERC NEMESIS Synergy project (see https://erc-nemesis.eu/ ). The aim of this project is to build an integrated computing chain based on "Discrete de Rham" methods, the main feature of which is to
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dynamics simulations, to help advance theories describing the scaling behavior of polymers. This project will employ such generic, particle-based, models to simulate polymer dynamics in the search
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neuroscience or a related discipline. Candidates must have previous practical experience and working knowledge of human neuroimaging (eg. model-based fMRI). The candidate must also have working knowledge