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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Latin intellectual traditions. The project combines intellectual history with computational text analysis to examine large, historically complex corpora spanning multiple centuries and languages. The core
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fermentation. This project pursues microbial population and ecological studies to examine the effect of diverse microbial consortia to mitigate perturbations in syngas fermentation of acetogens.The tools and
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with natural language. The successful candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning
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candidate will contribute to the creation of high-fidelity computational models that support the development of colonoscopy simulation environments. These environments will be used for testing robotic
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enable us to test Risø HPP when it is connected to different electrical power grids, which we will emulate with the CGI. We are looking for a Postdoc who will be engaged in experimental research and model
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guidelines of the department. Applications that are incomplete regarding the above requirements will not be assessed by the committee. Shortlisting and tests may be used in the assessment process. Shortlisted
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during pregnancy in relation to maternal and infant metabolism and health. This includes management of a randomized controlled trial, examination visits with parents and infants, as well as data processing
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outlets, social media platforms, and individual news diets, drawing on, among other data sources, data donations from individuals and automated content analyses. SP2 will examine how people perceive and
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, materials characterization, electrochemical testing, and emerging bio-enabled approaches. The successful candidates will take a leading role in laboratory-based research, including cement formulation and
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evaluate thermodynamic promotion performance in hydrate formation experiments. Produce sufficient quantities of optimized promoter systems to support pilot-scale testing within Hyper-Cap 2.0. Identify and