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Ref.: 534495 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track
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Ref.: 534129 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track
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to staff position within a Research Infrastructure? No Offer Description Ref.: 534129 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories
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possess a Ph.D. degree in Chemistry and a strong background and experience in the management and/or operation of interdisciplinary and cross-institutional collaborative research programmes. In addition
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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concentrate on three interrelated areas: a) Semiconductor Equipment Scheduling: In semiconductor fabs, a vast number of wafers are processed across hundreds or even thousands of manufacturing tools following
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science, natural language processing, spatial data processing and analysis etc. Preference will be given to applicants demonstrating both solid technical/computational skills and engagement with the Arts
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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Manage, process, and analyse complex real-world healthcare datasets to generate insights and evidence. Develop and implement data pipelines for the ingestion, curation, and transformation of RWD
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model