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research, analytical skills, creative thinking, ability to work in a team. -Skills and taste for programming. -Good level of English. Specific Requirements Aunque no es imprescindible, se valorará
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and respirometry, in healthy controls and patients with ME/CFS. You will collect, analyse and curate these multi-modal datasets. Your will write several scientific publications about the collected data
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Thebault labs are seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and
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areas across Europe presents a serious sustainability challenge. A modal shift towards cycling is required to achieve sustainable urban mobility, thereby reducing private car dependency, and improving
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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characterizing defects such as dislocations Applying generative models (e.g., GANs, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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on the influence of AFP process parameters on defects generated during the manufacture of thin and thick plates. A multi-scale analysis of these defects will be conducted, using X-ray tomography and scanning
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emerging types of national emergencies and evaluate their spatial and operational implications. This will include an analysis of UK population distributions, terrain, infrastructure access, and airspace
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of infrastructure networks, which remain fragmented and hinder the coordination needed to address cross-sectoral implications of demand changes (e.g., modal shifts, the use of home batteries). At the same time