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within our portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct of tailored studies. We
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machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life
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Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
digital treatment of maternal postpartum depression also benefits child outcomes. Initially, the postdoc will focus on conducting register-based studies using national health and administrative data. As the
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in spoken and written English. Additional desirable qualifications Some experience with 'Big Data' or another complex data organization project will be preferred but not required if advanced coding
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
concerns an integrative effort where several cryo-EM structures are used to develop donor and acceptor labelled proteins and complexes to follow their large scale rearrangements by single-molecule
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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oxygen delivery - without relying on human donors. You’ll build on the 3Bs group's extensive data and recent publications to evaluate the biological performance of these nanocarriers in preclinical models
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development as well as field data collection at multiple test sites in Ethiopia. Job assignments The successful candidate will join a large, collaborative team of researchers with expertise in electromagnetic
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researchers to analyze gene expression patterns within intact tissue architectures. By preserving the spatial information of RNA molecules in biological samples, this technology provides insights into gene
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focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain new knowledge and drive