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of flora and fauna, ecosystems ecology, environmental sociology, stakeholder engagement and integration, R-coding, GIS, and mapping software will be beneficial. More specifically, we welcome a candidate with
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the pdf-files into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password
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sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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are available. The research-dedicated infrastructure also includes 3T MR scanners (which may be utilized for acquiring structural images for MEG/EEG analyses and TMS navigation), a data storage database and a
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innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling
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to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data
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designs, building effective and conceptual models to inform our theoretical understanding, and developing code and theory frameworks to address new topological phenomena. Depending on the project’s results
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and aim to develop a long-term research plan based on the clinical functions of the department. A particular focus will be on prostate cancer, including areas such as early detection, screening, imaging