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of multi-layered and 3D artworks using techniques such as terahertz imaging, thermography and ultrasonics; and (ii) integrate and visualise multimodal NDE data using data fusion, digital twins and augmented
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the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biological approaches to the development of new imaging
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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experience with imaging, image processing, and/or visualization, as well as excellent programming skills. You must have a relevant Master's degree in computer science, electrical engineering, imaging science
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15th April 2026 Languages English English English We are looking for PhD Candidate in Spectral Imaging Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a
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. This PhD project aims to create advanced XCT workflows by developing Artificial Intelligence (AI) and Machine Learning (ML) tools to support imaging before the reconstruction phase. The research will focus
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of the development and operation of the imaging facility. Consequence of Error/Judgement The incumbent must be willing to pay attention to details, be aware of pitfalls and willing to repeat when
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to develop a hyperspectral DUV imaging system for applications in microscopy in the context of chiral light-matter interactions at the nanoscale as part of our team at the VU Amsterdam (matzlab.com
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processing and image representation Demonstratable experience in python for data handling and algorithm development Desirable : Knowledge and experience with imaging systems (X-ray CT, MRI or similar
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MSK imaging Supports patient education, comfort, and overall experience during procedures, including pre-procedure preparation and post-procedure guidance Coordinates staffing, workflow planning, and