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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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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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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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) to analyze data from the multi-modal Biological-Classification-of-Mental-Disorders (BeCOME) study, with a particular focus on the influence of environmental factors. REFERENCE NUMBER: 192 | 8748 The main focus
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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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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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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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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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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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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