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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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models is a strong plus Familiarity with super-resolution imaging techniques and/or proteomics workflows is a strong plus Strong computational and organizational skills, with attention to detail High level
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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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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
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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation