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sustainable materials, (d) Artificial Intelligence (AI) models to predict and control the manufacturing process and (e) a Digital Twin (DT) incl. Building Information Modeling (BIM) information backbone
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to plastic pollution and a circular plastic economy. Responsibilities and qualifications Your activities will revolve around the development of a framework to predict the degradability of bioplastics by
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modelling, and prediction tools. Fouling Control Coatings Fouling Control is performed by specifically designed materials to remove or prevent biofouling from i.e. ship hulls, as bio fouling leads
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subsequent impose a risk for humans (One Health). The overall aim is to establish the scientific basis for predicting how interventions in antimicrobial usage in animal production influence the occurrence
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tools to predict the functional specificity of Carbohydrate Active Enzymes (CAZymes) and proteases. The overall goal is to enhance our understanding of seed carbohydrate content and composition, and to
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Job Description Are you excited about developing advanced models and algorithms to better understand and predict human decision-making? Are you interested in integrating behavioural models with
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technologies of the department, e.g., batteries and catalysts. The project includes collaboration with experimentalists at DTU, who will verify the computational predictions as well as Saltfoss Energy, our
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for the position. The Research Group for Genomic Epidemiology conducts targeted research with the aim of predicting and preventing infectious diseases in humans and animals, as well as supporting global detection
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dedicated to developing prediction models governing TCR interactions. However, overall the accuracy is limited, and characterizing and predicting these interactions remains a significant challenge. This, we
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of selected inhibitors/poisons influence the hydrotreating of the main oxygenated compounds. Finally, it is the objective to develop a kinetic model to predict the hydrotreating of advanced bio-oils, including