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equipment Experimental design, data analysis, writing of scientific articles and presentations at conferences and meetings Qualifications: As our new PhD student, you must have a two-year master's degree (120
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and European companies and international academic partners. The AI4OR group focuses on solving complex problems, which require high-level modelling, data analysis and management capabilities as
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, analytical and computational skills. Knowledge of Bayesian machine learning, deep learning and statistical learning. Experience in statistical modelling and data analysis; ideally experience with quantitative
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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
collaboration internally and externally. Furthermore, preferred candidates: Have in-depth knowledge about the sustainability of foods, dietary patterns and nutrition, e.g. food systems, life cycle analysis, Have
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research and teaching within the various areas of economics. The research, teaching, and dissemination activities at the department are organized within four groups: Econometrics and Data Science; Economic
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measurement techniques, this project aims to use the data-driven approach to perform battery state estimation on real-life use cases. The PhD position is part of the Nordic5Tech (N5T) battery initiative
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measurement techniques, this project aims to use the data-driven approach to perform battery state estimation on real-life use cases. The PhD position is part of the Nordic5Tech (N5T) battery initiative
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analysis of radionuclides in the environment and radioactive waste for assessing environmental risk, characterization of waste and tracing environmental processes. You will work in the laboratory
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impact of zoonoses in different countries. This requires analysis of varied and heterogenous data and development of models that rely on composite metrics. To address these challenges, DTU Food is looking
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interventions Systematic use in practice and data collection Ongoing analysis and refinement of teaching designs Theoretical and practical knowledge generation Generation of new digital and analogue tools and/or