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funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Data integration and numerical modelling
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communication skills in English Strong background and knowledge of the Finite Element Method or any other relevant numerical methodology. Other valued skills (not mandatory): Authorship or co-authorship of journal
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methods. - Collaborate in the fabrication, integration, and calibration of prototypes based on linear and two-dimensional arrays. - Perform data acquisition, management, and post-processing tasks for data
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for data augmentation, small language models, anomaly detection using learning methods, and explainability techniques for decision-making. The research will involve designing and developing prototypes
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coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of the semiconductor industry. The selected candidate will join the Quantum Hardware group lead by
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methods tailored to meet specific target property requirements. These methods will leverage new-to-nature metabolic pathways, ensuring the efficient production of food ingredients and proteins. 2) A multi
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: Numerical and experimental study of liquid-gas multiphase flows with particles Where to apply Website https://appsrecerca.urv.cat/cgi-bin/programes/application/inici.cgi?conv=2025PM… Requirements Research
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aims to develop physics-informed artificial intelligence tools for single-molecule fluorescence microscopy. The PhD student will focus on designing AI-based methods for quantitative analysis of protein
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. The doctoral research will target thermal transport and energy conversion in 2D semiconductors, particularly transition metal dichalcogenides (TMDs). Optothermal and frequency-domain electrical methods will be
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the fluxes of key dissolved carbon compounds supplied by SGD to the coastal ocean. The main studied compounds include: i) Dissolved Organic Carbon (DOC), which influences coastal metabolism and ecosystem