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surgeons to achieve more precise cancer removal. Utilizing Artificial Intelligence to Segment Echo Images of Tongue Cancer Intraoperatively to Facilitate Radical Resection Squamous cell carcinoma (SCC
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microscopy images of the charge density wave material 2H-NbSe2. [5] B. Kiraly et al., Nano Lett. 17, 3607 (2017), Probing Single Vacancies in Black Phosphorus at the Atomic Level. [6] Kiraly et al., Nat
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an experienced candidate to conduct and help lead our research efforts in Generative Information Retrieval (GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly
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advancing image-guided precision irradiation and realistic disease modelling. As postdoctoral researcher, you will contribute to cutting-edge developments in preclinical CT imaging, precision irradiation, and
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of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge
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applications involving image analysis, real-time monitoring, or complex process optimization. You have hands-on experience with model optimization techniques such as post-training quantization (PTQ
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Research Institute for Oncology and Reproduction, the MAASTRO Physics Research Division plays a leading role in advancing image-guided precision irradiation and realistic disease modelling. As postdoctoral
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-oriented mindset, and a passion for (scientific) challenges, you are the right person for us. Our lab develops technologies that integrate advanced imaging, computational analysis, and single-cell & spatial
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now includes five years of follow-up data. You will focus on linking the molecular data with clinical data, which is being analyzed by clinical researchers. Additionally, you may integrate imaging data
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animal research, imaging and radiotherapy who is interested in the application of X-ray activated anti-cancer nanohybrids Postdoctoral researcher in preclinical X-ray activated nanohybrid therapeutics Our