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-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation
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, electronics, image and data analysis, chemistry, and biology. In this position, the successful candidate will work on the development of a novel three-dimensional single-molecule localization microscopy
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collaboratively in a multidisciplinary research setting. * Strong written and verbal communication skills. Preferred Qualifications * Experience with single-cell data analysis and multi-modal data integration
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methods of basic biomolecular research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human organism and food
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StudyServiceCenter and four Departments (see https://univie.ac.at/psychologie) . The courses offered in Psychology includes a bachelor's, master's and doctoral studies. Currently there are nearly 4000 students
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analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As
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model disease trajectories to identify risk factors and improve disease prediction and prevention. Responsibilities will include conducting detailed analysis of multi-modal data from the UK Biobank, in
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researcher will contribute to the development of a novel time-resolved fluorescence lifetime measurement approach, in close connection with methods based on single-molecule brightness analysis. The objective
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academic partner in AF-B-STEP, contributing expertise in AF burden quantification, AI-based rhythm analysis, and digital biomarkers. The department has a strong data science environment, with an additional
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statistical modelling, medical imaging data analysis, cancer omics, precision medicine and translational statistics. Depending on their profile, the successful candidate will work on one of the following