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integrated “Big Data” analyses of molecular/omics data and e.g. epidemiological data from national registers. Setting up collaboration with clinicians and start biobanking of samples from renal cancer patients
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related fields are welcome, such as connections with hazard characterisation, big data analyses as well as environmental fate and multisource exposure studies. While the work will focus on a Danish and
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established clinical and basic research center as of January 2025 and is generously funded by a large 10-year grant from the Lundbeck Foundation. PACE consists of a close-knit community of world-leading
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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translated into prevention, treatment, and alleviation of disease. We collaborate broadly in our efforts to share knowledge with both the scientific community and society at large. The department’s teaching
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large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. The PhD project could aim at the following issues: Improved Funding Decisions: How can we make