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: The relation between climate change, health and work; The relation between health, income and the burden of COVID-19; You will conduct state-of-the-art statistical analyses using linked, population-level data
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Qualities:You are a computer scientist, a computational biologist or a computational chemist with proven expertise in implementing machine learning methods in Python. You write or have written your master's
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function and the brain, we will use experimental measures from our departments to quantify motor learning. This involves using sensory information to correct errors in the motor system, essential
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: This research project focuses on the link between SARS-CoV-2 infection and neurodegenerative disease, with a focus on Parkinson’s disease. Recent work from our department showed elevated levels
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(crowding, concentration of nutrients, size of liposome, etc.) with gene expression levels across a synthetic genome. To achieve this aim, you will use VASA-seq and Ribo-Seq to generate large data sets
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PhD in Data-Driven Modeling of Homogeneous Catalysts (1.0 FTE) (V25.0035) « Back to the overview Job description Among the most challenging to develop catalytic reactions are stereoselective
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. After initial experimental results, further research is guided by trial and error with the goal of deriving intuitive trends. Data-driven approaches are attractive alternatives. Descriptors are used
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. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective
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analysing qualitative data by content analysis, narrative interviews, shadowing, focus groups and vignettes among relevant stakeholders; Publish articles on the intersection of street-level decision-making
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Aarhus neighbourhoods, collecting and analysing qualitative data by content analysis, narrative interviews, shadowing, focus groups and vignettes among relevant stakeholders; Publish articles