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transcriptomics data analysis. Experience in quantitative image analysis, computer vision, or digital pathology. A strong background in cancer biology or immunology. Experience with machine learning, deep learning
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range of training in technical and transferable skills including mobility grants and a Mentoring programme for predoctoral and postdoctoral researchers. Stimulating, interdisciplinary research and high
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opportunity to work with cutting-edge data and contribute to our understanding of cancer biology. Main tasks and responsibilities: The primary role will be the computational analysis of high-dimensional spatial
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Technician will be expected to interact effectively with researchers from a range of different disciplines to contribute to the programme of research, particularly in the collaborative execution and management