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postdoctoral-level candidate with specialization in bioinformatics or computational biology approaches, with special preference for single-cell analyses. The teams of Prof. Garg and Prof. Naulaerts aim to apply
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our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series intervention
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. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
multiple genome alignment to identify gene loss in plants and investigating its links with species divergence and adaptive traits in various plant clades, e.g., Orchidaceae, Poaceae, Solanaceae, Brassicaceae
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applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. The University of Luxembourg is committed to achieving gender
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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
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a PhD candidate to conduct research in in the areas of criminal law and/or criminal procedure law, ideally in connection with its European, international and interdisciplinary aspects. The doctoral
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tools. In this PhD position, you will investigate the use of logic-based methods to provide decision support for the process of designing electromechanical systems. Here, the focus is not on the system
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of more efficient cancer detection methods and revolutionary therapies. The center is looking for A PhD for the project “Intraoperative assessment of resection margins in breast cancer surgery by Raman
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(or to be obtained the year of the application) or other degree, depending on the scholarship applied for Being able to demonstrate excellent study results (great distinction or multiple distinction) and/or