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engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop
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related to LCA, HRI, and construction safety, health, and well-being. The projects target predictive LCAs for 3D printing using Fabrication Information Modeling (FIM), run-time autonomous data collection
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), quantitative sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs). CNAP is a dynamic and international research environment: approximately 60% of our staff is international
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partial reprogramming techniques to reverse age-related decline in health, focusing on improving healthspan and organ function in aging models. Key recent publications from Dr. Sahu’s previous work include
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on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as well as international partners. Field
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well as experience working with animal models and/or cellular assays, and you are looking for an opportunity to put your skills into practise, you have it right here. The Research Group for Food Allergy at the DTU
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on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as well as international partners. Field
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
five bioclimatic zones. Your task will be to combine multi-source data — including field observations, environmental measurements, and satellite imagery — with mechanistic models to assess carbon
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five bioclimatic zones. Your task will be to combine multi-source data — including field observations, environmental measurements, and satellite imagery — with mechanistic models to assess carbon
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October or as soon as possible thereafter. Jobdescription This postdoc position offers a unique opportunity to bridge environmental modelling, behavioral insight, and policy innovation to understand and