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for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210
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Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 31 July 2025 (23:59 Danish time). Applications must be submitted as one
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through transdisciplinary research, teaching, and outreach. We integrate analog and digital knowledge, tools, methods and creative processes from design, humanities, social sciences, and physical sciences
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for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210
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for companies to develop new and innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health
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biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with severe mental disorders. In addition, we work closely with national population cohorts
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languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred. Familiarity with medical imaging processing and reconstruction techniques
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point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation
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asset. Familiarity with quantitative text analysis procedures is considered an advantage. Familiarity with digital tools, including computational methods for textual analysis, will be an advantage
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. For modeling, we use both public and proprietary clinical and research data and generate our own repository of digital pathology images. A further focus of our lab is the improvement of digital pathology