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from water samples compared to tissue samples for early detection of disease. Another is to perform “what if” scenario modelling to compare suitability for different sampling protocols in farms in non
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-scale research facilities, such as synchrotrons, for EXAFS and high-pressure XPS measurements. We also work in close partnership with the CatTheory group, using DFT-calculations and microkinetic modelling
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access to excellent facilities and competences for synthesis, characterization and modelling. Responsibilities and qualifications Your tasks will primarily encompass: Nanoparticle synthesis and surface
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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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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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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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proteins as food ingredients in food models Conduct project reporting and publishing results in international scientific journals Participating in teaching and supervision of students at all levels As a
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part of the Dynamical Systems Section. We perform research within a broad range of areas within dynamical systems including modeling, optimization, forecasting, and controlling in both deterministic and
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the department’s competencies in advanced modelling and control of buildings' energy systems, e.g., heating, cooling, and ventilation systems using IoT technologies. You will collaborate closely with academic and
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, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models