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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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groups, with a primary role in assessing histological slides and whole slide images for toxicopathological effects, but also interpretations of animal toxicity studies more broadly. This will include
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of electron microscopy imaging and spectroscopy to reveal the structure–property relationships that govern molecular adsorption mechanisms. This interdisciplinary project is fully funded by DTU’s PhD grant
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deliver critical services across the health technology value chain, including radiopharmaceutical production, biomedical imaging, biological experimentation, diagnostics, and dosimetry. These services
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, HPLC, analytical chemistry and image analysis. Self-driven, highly motivated, organized, and responsible individual Team player We offer DTU is a leading technical university globally recognized
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Crystallography Physical Metallurgy Experience with synchrotrons or laboratory 3D diffraction imaging is considered as a significant advantage. Excellent English communication skills are also essential. As a formal
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: Specialization in machine learning and computer vision. Strong skills in developing computer vision and AI models. Experience with thermography or thermal imaging. Experience in data fusion and multimodal learning
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technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural
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-level programming, developing prototype implementations, and evaluating their research in testbed experiments. An interest in generating real-world impact and collaborating with the industry. Excellent
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sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised