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or internationally excellent for its impact on society in the last Research Assessment Framework. Job description The Raman Spectroscopy group is focused on using spectral imaging to obtain biochemical fingerprints
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trials, with strengths in cancer immunology, tumour microenvironment, lymphoid biology, surgery, and clinical informatics. Our success led to the establishment of the Centre for Cancer Immunology (CCI) in
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brings together critical humanities thinking with practices of writing, performance and moving images. BACAH further develops the UASc departments’ interdisciplinarity by bringing together critical
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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or internationally excellent for its impact on society in the last Research Assessment Framework. Job description The Raman Spectroscopy group is focused on using spectral imaging to obtain biochemical fingerprints
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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
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. cell culture, molecular biology, imaging, cell signalling assays). As well as performing experiments on the project, the role will involve providing training in techniques to relevant staff/students
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of clinical and research imaging. A4 Basic understanding of relevant clinical trial and medical device legislation. A5 Knowledge of Health and Safety legislation. Desirable: B1 A PhD in a relevant area with
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• The advancement of light-microscopy methods to peer even deeper into large tissues • The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and
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systems paradigm within the area of AI has been widely researched since the early 1990s, but has come to prominence recently with the emergence of Large Language Models (LLMs). The possibility of using