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perception and nutrient sensing. The project aims at clarifying whether exposure to pollutants compromises sensory functions, potentially affecting appetite regulation, caloric intake, and overall health
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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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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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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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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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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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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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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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, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities Collaborating closely with experimental partners to validate methods and