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precise cancer removal. Utilizing Artificial Intelligence to Segment Echo Images of Tongue Cancer Intraoperatively to Facilitate Radical Resection Squamous cell carcinoma (SCC) of the tongue is a rare yet
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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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in Data Science, Artificial Intelligence, Computer Science, Cognitive Science, or any another relevant discipline. Have interest and experience with deep learning and image analysis. Have interest and
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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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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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elaborate the prototype of the audit tool. Your duties and responsibilities include: The co-development and testing of the audit tool Social and economic analysis of the implementation of the Audit tool Your
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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage
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assess their usefulness. Co-create a regional risk picture by facilitating workshops to prioritise event–disruption–risk combinations with compounding impacts on care (e.g., precipitation extremes
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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