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data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network analysis, web
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Build, Division of Civil and Environmental Engineering, within the general study programme Civil Engineering and work with numerical modelling, time series analysis, and soil characterization
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compliance of the developed methods. There will also be interaction with the Novo Nordisk Foundation Data Science Infrastructure Programme, “the National Health Data Science Sandbox”, a network of data
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, logistics platforms, industrial ecosystems, and regional transition actors depend on strategic partnerships across complex networks of port authorities, energy companies, logistics actors, industrial firms
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or a closely related field. You bring a solid foundation in areas such as process modelling, thermodynamics, heat and mass transfer, process dynamics and control, optimization or energy-system analysis
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refine your research project. You are expected to actively engage with the department’s research environment and participate in relevant national and international research networks. As part of the PhD
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associated with interpretation of measurements from blood and, in particular, measurements from a blood gas analyser. Often, blood samples can be incorrectly assessed due to gas contamination, delayed analysis
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in Python, C++, MATLAB/Simulink, ROS, Gazebo or other simulation and robotics frameworks. Experience with CAD/CAE, CFD, digital twins, embedded systems or experimental data analysis is an asset