57 big-data Postdoctoral positions at Aarhus University in Ireland-University-Ranking-2024
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of collaborators in ecology, envi-ronmental genomics, pollinator biology and biodiversity monitoring. Key Responsibilities The post doc will: Design and coordinate large-scale field studies across multiple seasons
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February 2029, but with possibility for an extension. Job description • You will be contributing to further development of the WRF-Chem model to handle a large range of bioaerosols in particular pollen
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, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme
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and proficiency working with large datasets (experience working with Danish national registers strongly preferred) Experience and proficiency with data analysis and statistical modeling Competence with
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crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography, powder X ray diffraction, diffuse scattering, phase transitions, and background modeling
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Experience with synchrotron X ray scattering and/or XFEL experiments. Strong skills in crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography
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methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management
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Quantitative proteomics workflows Development of LC-MS/MS methodologies Post-translational modification analysis Data-independent acquisition (DIA) approaches Large-scale proteomics studies Laboratory automation
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language processing and the use of (multilingual) large language models / transformer-based models. Experience with large-scale data collection (e.g., parliamentary speeches, manifestos, press releases, social-media
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff