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Field
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knowledge recombination, conceptual distance, topic novelty, and uncertainty. The project will mostly rely on econometric analysis of large-scale microdata sets for researchers in Denmark, in particular, high
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analyses within this large-scale field experiment, working closely with an international consortium of health economists, clinicians and implementation scientists. Join us to help generate the evidence
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to damage or loss data; Experience with programming (Python or R) and working with large datasets; Ability to design and evaluate field experiments or quasi‑experimental studies is an asset; Strong written
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. Responsibilities: Conduct empirical research on responses to hazardous weather using mobility data Clean, manage, and analyze large mobility datasets using python and modern econometric and computational tools
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hold a PhD (or be close to completion) in, for example, econometrics, statistics, or computer science, with experience of analysing large datasets. The post offers the opportunity to contribute to a
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of the energy system, security of supply, and the distribution of costs and benefits among market participants. Theme B: Power system flexibility in data centres Research on this theme addresses large data
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in delivering the intended residential energy cost and other household direct benefits. Data collection, processing/curation, and analysis. Development and implementation of econometric analysis (e.g
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science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact of artificial intelligence on society, as well as broader questions surrounding
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strong foundations in operations research/optimization modeling and econometric/statistical/ml analysis with a passion for applied problem solving. The work will involve large-scale data analysis and work
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Applications are invited for a Postdoctoral Research Associate in transportation data science and statistical modelling, based in the Centre for Transport Engineering and Modelling (CTEM