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Field
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) for automated medical image analysis (MIA) tasks, such as inspection and segmentation. By leveraging the power of large language models and integrating them with visual information, this project seeks to create a
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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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to the in-situ field measurements at Itatinga. The Ecotron experiments are not part of the postdoctoral work and will be made by a French PhD student. Combining data from Eucalyptus stands and
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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
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in pre-processing and processing large biomedical datasets, including bulk and single-cell (epi)genomics and transcriptomics data using high-performance computing. You have excellent written and oral
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, and to develop therapeutic avenues. The group is particularly interested in understanding how genomic information is used to direct cell-specific gene expression, and to pinpoint gene regulatory defects
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you To be successful in this role you will be able to demonstrate the following: A PhD in a relevant subject area Knowledge of biopolymer chemistry, functionalisation and physicochemical
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section. Schedule/Travel: Persons in this position may have to work on the weekend and/or after normal hours; may travel as required. Required Education PhD in Pharmaceutical Sciences Required Special
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At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with