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degree in remote sensing, geoinformatics, computer vision, AI or related fields. Candidates with a solid understanding of satellite images, spatial analyses, machine learning and deep learning. Candidates
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segmentation of organs from medical images; generation of simulation-ready surface and volumetric meshes from segmentations; and modelling realistic boundary conditions, particularly the interaction between
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magnetic microscopes for contactless imaging of the magnetic field induced in biological tissue samples. Our aim is to build the world’s fastest, most sensitive microscope capable of resolving magnetic
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on electrolysis (SDU) as well as Danish manufacturers of both heat exchangers (Danfoss) and thermoelectric generators (TEGnology). The goal of the project is to realize an actual prototype heat exchanger that can
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and maintenance of monitoring buoys and related sensor systems. Apply image analysis and machine learning techniques to ecological datasets. Develop and implement multi-platform monitoring frameworks
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combining CRISPR-based endogenous protein tagging, advanced quantitative imaging, and biochemical approaches, this project seeks to uncover novel principles of replisome plasticity. A key long-term objective
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creates the foundation 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
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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in the Pedersen lab focusses on ion channels and their role in several neuromuscular diseases characterized by abnormal muscle excitability. Experimentally, the work involves electrophysiology, imaging
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this. It is important to develop a detailed picture of the cell types affected by these changes and if possible the temporal sequence in which they occur in order to intervene to restrict cancer progression