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experience that will strengthen your application: Operating filters or reactors Molecular biology techniques Programming, data analysis, and statistics Mathematical modelling Wastewater engineering Contract
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laboratory work and data analysis? Then this position may be right for you. While the focus will be on your research and personal development as a researcher, the position also provides opportunities
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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your application: Proven experience with data analysis and programming (e.g., GAMS, Matlab, Python or R). 7.5 credit course (or more) in sustainable energy futures Experience of other energy and
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Autonomous cyber-physical systems (ACPS) have great potential to improve our ways of life, increasing mobility, cutting costs, and saving lives. Considering the complexity of the environments
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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Analysis . We conduct research to find more sustainable technology solutions and ways to transform technological systems to meet the environmental and resource constraints faced by society. Our work is
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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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aluminium through AI-driven microstructural analysis. About us The PhD candidate will work at the Division of Data Science and AI , in the neuro-symbolic research group. This group works with combinations
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aluminium in high-value products produced by mega-casting. The main objective of the PhD project is to develop a finite element analysis (FEA) framework that can accurately predict the mechanical properties