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The Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as an academic employee within image analysis and IT infrastructure for imaging data as
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Mechanical Engineering (DTU Construct). In this role, you will integrate advanced vision sensor technologies, materials science principles, and computational image processing methodologies to develop a
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supercomputer (https://dcai.dk/gefion ). Downstream finetuning of models for various radiotherapy related tasks (e.g. image segmentation, dose prediction) will also be a part of the study. As part of the position
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Job Description Many industrial processes generate wastewater with small oil droplets stabilized by surfactants, the same goes for accidental spills of fuels incl biofuels and various process oils
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- specific predictive models, the lack of explainability in AI-driven decision processes, and the difficulty of capturing long-term dependencies in time-series data. In this project, you will focus
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Job Description DTU Space seeks a research assistant for GNSS data processing, with a primary focus on experiments related to multipath mitigation. The position is anchored in the division
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and teaching within biomanufacturing and sustainable process technologies. The positions are linked to the BRIGHT initiative but anchored in the DTU Chemical Engineering About BRIGHT – The Novo Nordisk
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from by contacting Professor Peter Vesborg or Professor Stig Helveg . You can read more about Center for Visualizing Catalytic Processes (VISION) at https://vision.dtu.dk . If you are applying from