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of CRISPR-based genome editing. Good communication skills, both oral and written. An analytical aptitude for devising innovative scientific or technical solutions. For further information, please contact
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Radiation Oncology within the AIM@CANCER research center as per 1 April 2026 or as soon as possible thereafter. The position will be combined with a function in the Danish Data Science Research Infrastructure
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11 Dec 2025 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Distributed, Embedded and
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. The pharmacoepidemiological research group utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The environmental medicine group studies
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of Sustainability and Planning https://vbn.aau.dk/en/persons/jja This position is specificallyaboutmodellingcascading and compound impacts of climatechange on future Danish land use in which spatial data analytics
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Postdoc position to support international research and capacity-building projects employing elect...
of large-scale EM data for groundwater mapping. Teaching and training of Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological interpretation
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of questions, data, and analytic methods involved (1 page) a CV official documentation of a PhD degree or its equivalent a full list of publications two writing samples, at least one of which should be published
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can use and combine various cutting-edge data modes such as single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing. The candidate will get the opportunity
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to investigate degradation mechanisms in depth using advanced analytics, signal processing, and frequency-domain diagnostics based on electrochemical impedance spectroscopy (EIS). The overarching goal
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be designed, and carried out, together with a PhD student already working on the project. Data will then be used to estimate behavioral models and integrated into an activity-based models for scenario