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, statistics, economics, biology, physics, or any other quantitative science. Knowledge of/or strong interest in population studies and formal demographic methods Experience in statistical analysis, and/or
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at the Dynamical Systems Section is very wide ranging. From foundational research in work on statistical forecasting, modeling of spatial and temporal processes and time series analysis to applied research in wind
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of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Centre. DTU Biosustain utilizes these advances for microbial cell
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Research Assistants, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration
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Research Assistants, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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existing buildings that we can use to learn how to design better, more sustainable buildings, is often overlooked. We therefore need a scientific method for the high throughput analysis of existing and
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antibiotic resistance in Arctic waters, with a primary focus on Finland, Sweden, Iceland, and Greenland. While the analysis of emerging contaminants will be done at an external certified lab, your working
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algorithmsresponsible for detecting movement intention and timing the powered assistance. Human testing will involve motion analysis using optical and inertial motion capture, surface electromyography(EMG) and force
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and master’s students. Your profile We are looking for a highly motivated candidate with a strong background in remote sensing, machine/deep learning, and geospatial data analysis. The ideal candidate