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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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(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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agriculture to function well within the landscape. In this PhD, existing monitoring network data and locally collected field data will be available for the modelling work, in addition to freely available
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command of the English language is expected to be at C1 level . Sometimes it is necessary to submit an internationally recognised Certificate of Proficiency in the English Language. More information can be
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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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. 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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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 to characterize the molecular
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position aims to assess the impact of drought conditions on water quality in urban areas. To this end, you will first review existing literature and water quality data to be able to map and quantify
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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