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Field
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by PI Dr. Jessica Hsu (starting January 2026), is seeking highly motivated and creative postdoctoral fellows to join a research program that integrates molecular imaging and nanomedicine, leveraging
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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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Council of Norway to study the role of striatal interneurons in action selection. The basal ganglia play a critical role in decision making. Our aim is to investigate this decision-making process, using a
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Biomedical engineering Physics or Applied mathematics You present with expertise in advanced signal and data processing and its applications to cutting-edge imaging. Developing programming skills (Python, C
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collaboration with theory will be central to guiding and rationalizing the experiments, while synchrotron-based techniques will provide detailed insights into the atomic-level processes. By linking mechanistic
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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and
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the selection process. About the department The PhD candidate will work under the supervision of Dr. Marcello Carioni and will be part of the group “Mathematics of Imaging and Artificial Intelligence” (MIA
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Job Description Join our interdisciplinary team developing state-of-the-art 3D X-ray microscopy for life science applications. ‘Seeing is believing’, therefore at the DTU 3D imaging center we
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen