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Part time with 0.4 FTE (15 hours) Fixed term contract for up to 12 months with possible extension The Oxford Applied and Theoretical Machine Learning group at the Department of Computer Science has
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or bioinformatics and a keen interest in cancer biology. Extensive and demonstrated experience in scRNA-seq, spatial transcriptomics, with image analysis experience an advantage. A proven publication
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of optics and photonics, either providing complementarity to existing activities, particularly in optical systems engineering, optical manufacturing, photonic devices and materials, optical imaging and
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and Computer Sciences at Heriot-Watt University is recruiting a postdoctoral researcher in statistical machine learning for computational imaging. The position is open in the context of the 5-year
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individual and collective wellbeing. Employee support at King’s includes flexible working arrangements, paid maternity/shared parental leave, menopausal support, an active wellbeing programme, training and
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the rehousing of the reserve collections. Furthermore, you will look after visitors to the collection, respond to inquiries from scholars and the public, deal with image requests, advise on acquisitions and
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, commissions and other public facing outputs and art world processes. Experience of making digital and moving image work would be a desirable attribute for this post. The post involves studio as
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the field, from tissue scaffold design in tissue engineering evaluation to surgery. The student will focus on establishing best practice for widespread applicability, building on past skin, heart, lung, brain
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered nurses (RNs) caring for patients having colorectal surgery. This is a six-month multisite study funded by the AI