922 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" positions at Nature Careers
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departments: Computer Science, Bioinformatics, Data Science, Artificial Intelligence, Mathematics andStatistics, among others. It hosts a number of key research and teaching platforms, including the Engineering
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50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by employing staff who bring unique perspectives to our department
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identification. This work will involve the analysis of large-scale, multi-modal datasets, including genomic/multi-omic data (short- and long-read based), imaging and health records, using state-of-the-art data
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panel, shape the selection of strategic alternatives. Most of his research uses large-scale quantitative data analysis alongside semi-structured interviews. He uses unique data that he collects by
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
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information For further information, please contact: Professor Daniel Otzen, dao@inano.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with
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of evolutionary anthropology and medicine (W2) to be filled at the earliest possible date. The professorship will represent the field of population genetics in both research and teaching. Its focus is on the data
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perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approachesConduct large-scale
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Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, Biomedical Informatics (Computational) or a related discipline who possesses strong computational and analytical expertise