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needs Can perform complex tasks also in periods of intense activities Can assist with data entry and laboratory database maintenance Is collaborative and enjoys working in an international research
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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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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