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Job Description DTU Compute and the Pioneer Centre for Artificial Intelligence are excited to offer a PhD position for a talented and motivated student to join our lab at DTU led by Theodora
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to the evaluation of absolute sustainability of biobased systems, from a biorefinery to a whole biobased society. The main tasks are: Development of a large-scale model of the carbon material flows in a biobased
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-linear hydraulic behaviours, which pose significant computational challenges for large-scale planning and operational optimization. By leveraging the inherent network structure, the project aims to develop
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experimental work and risk modeling, you will help uncover how chemicals and microplastics are released from consumer products and contribute to the development of Safe and Sustainable by Design (SSbD
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Computer Science section of DTU Engineering Technology and the Technical University of Munich (TUM). The project will investigate how technological, regulatory, and market uncertainties shape SMEs
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advantageous: Familiarity with LCA modelling, with consideration of mass and substance balances, data quality assessment, sensitivity and uncertainty assessment applied to membranes or similar products
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are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python
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to circularity and sustainability in the footwear industry. Through advanced experimental work and modeling, you will help uncover how the composition of shoes will affect the circularity potential, and advice
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Analytics. The core focus of the PhD project will be to develop and test planning and optimization models to analyze new and innovative Hospital-at-Home systems to improve access to healthcare for elderly and
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of operating zinc-air batteries. Use automated Rietveld refinement for analysis of large data sets and Computed Tomography analysis of the imaging data. Dissemination of research results. Qualifications expected