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on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe mental and
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, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles of climate/weather model output are advantages
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climate change are far-reaching, particularly when it comes to identifying and interpreting trends in regional-to-local scale signals and extreme events. Large ensembles of climate simulations are a key
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data, to better understand how biological, psychological, and environmental factors contribute to severe mental disorders, their treatment, and outcomes. The Centre has access to a large database of
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, including three faculty professors, two researchers, several postdoctoral fellows, Ph.D. candidates, data engineers, full and part-time research assistants, administrative support, and several affiliated
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medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors
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. The successful candidate will contribute to advancing climate risk assessment, integrating scientific and local knowledge, and utilising innovative sensor data and community-generated observations to improve
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between 2015 and 2017. We have Norwegian registry data on refugees’ demographic background, labour market participation and health service use for the entire study group (N= 14,200) and a Norwegian control
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encourage all qualified candidates, regardless of background, to apply! Job description The candidate will work on large-scale data analysis of cancer transcriptomics data (bulk, single cell and spatial), and