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: The doctoral candidate will perform computational analysis of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer's disease or Parkinson's disease. The candidate will use state
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implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
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, including the development and use of 3D models and the study of extracellular vesicles Analyze high-throughput data sets using R or similar software Present research findings in meetings Document performed
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established in France in 2019 and awarded an "AI Clusters" grant in 2024. The mission of the 3IA Côte d’Azur Institute is to foster cutting-edge research in Artificial Intelligence and to provide high-quality
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patient clusters and digital phenotypes, leveraging machine learning approaches to identify individuals at high CV risk based on clinical and biochemical markers, immune markers, digital health data (e.g
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role We are looking for a doctoral candidate with a strong computational, engineering
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interstellar ices to the early stages of planetary systems. The successful candidate will perform multidimensional gas chromatographic analyses of astrophysical-relevant samples including interstellar ice
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for neurodegenerative diseases. Outcomes could be diagnoses of mild cognitive impairment, dementia, and/or Parkinson's Disease, or markers of brain structure and functioning, depending on the dataset
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Digital History (C²DH) at the University of Luxembourg is an interdisciplinary research centre committed to high-quality research and public dissemination in the field of contemporary history with a
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Fluency in English, along with a good command of either German or French is required. Knowledge of Luxembourgish is considered an asset We offer Multilingual and international character. Modern institution