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Performing general administrative tasks We’re looking for someone who: Is enrolled in a higher education programme and has completed at least one year of studies Is organized, reliable, and detail-oriented Is
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of electricity and other energy markets. Knowledge of cost model and financial modelling of renewable technologies. Coding experience (Python, Matlab) You must be responsible for the teaching of courses. DTU
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to reproducible practices and meeting project timelines are essential for this role. Potential tasks include: Computational modeling of metabolism to predict strain phenotype and generate strain designs with
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. Pipeline 3: 3D Root Architecture Modelling from microCT Scans Implementation of deep learning-based reconstruction and segmentation pipelines for 3D root system modelling using micro-computed tomography
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specialized areas: Machine Learning / Deep Learning Uncertainty Quantification Wind Farm Flow Modelling Wind Farm Control Wind Farm Design Wind Farm Control Co-design Hybrid Power Plant Design & Control Co
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enabler that can make it easy to use the huge amounts of available research and company data in the development AI models? Do you wish to work with one of the biggest supercomputers in Europe and be part of
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
information to improve genomic prediction models. The selected candidate will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, PhD students, and Postdocs
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within built environment Data-driven modelling and computational techniques for optimizing indoor environmental control systems Control of gaseous emissions in livestock housing Excellent programming
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emphasis on the social, economic, and policy implications of demographic shifts. The centre is internationally recognized for its expertise in analytical demography, demographic modelling, and forecasting
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-track research plan, including both research and teaching career goals. Your Competencies We seek an ambitious early-career scientist with a PhD in computer science, statistics, mathematics, engineering