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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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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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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
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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research skills in different contexts, working with mentors with different disciplinary and substantive expertise in the social sciences. The successful candidate will have the chance to work with leading
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, transcriptomics data, Nanopore long read sequencing analysis and/or multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for
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these are geared towards the promotion of wellbeing for all. We have a competent team of professoriate staff, teachers, and researchers working on a wide range of social work issues for different target groups. More
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effectively across multiple sectors; and establishing and managing studies involving colleagues from different disciplinary backgrounds may be favourably considered. The appointees will undertake teaching