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, Bioinformatics, Epidemiology, Biostatistics, Biomedical Sciences, or related disciplines; Strong background in statistical modeling, and/or machine learning (any experience in multimodal AI is an asset); Previous
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. Measurement techniques in field applications and in the laboratory. Modeling and simulation skills (batteries, energy systems, electric equivalent circuits). Machine learning, statistical analysis, and other
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of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
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, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to collaborating with researchers from other disciplines. The successful candidate will
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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
. After maximum 6 years you will be evaluated by an external assessment committee, and if evaluated positively, you will acquire a permanent Senior Researcher position. The National Food Institute