366 postdoctoral-image-processing-in-computer-science-"EPIC" positions at University of Glasgow
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2 B2 Allergen Awareness Skills Essential: C1 Ability to work well under pressure. C2 Basic computer skills and experience. C3 Excellent communication and interpersonal skills. C4 Adaptable and
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or imaging systems, including successful technology transfer E3 Substantial, relevant commercialisation experience in a related field, including experience with translating technical innovation into commercial
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regenerative power can lead to diseases like cancer, with far reaching impact to overall health.The Tissue Regeneration and Cancer MSc Research Programme, hosted by the School of Cancer Sciences, will deliver
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processes to ensure that the full programme of activities is supporting the development of the University’s innovation ecosystem and culture. The role holder will be line managed and work closely with
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Composite Materials Advanced Manufacture Computer-Automated Design (CAutoD) More information: Materials, Design and Manufacturing Space Systems Planetary exploration and science Debris mitigation Space power
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Sufficient depth of relevant research experience, normally including sufficient postdoctoral experience in the social sciences, appropriate to an early career researcher. C3 Proven ability to deliver quality
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transition from existing TRE provider (Robertson Centre for Biostatistics) to long-term operational sustainability. 3. Support the delivery of key demonstrator AI/ML projects (digital pathology, imaging, NLP
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business processes across multiple departments, performing systems analysis on software applications and impact assessing any potential change in practices in relation to technology usage. You will document
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, University of Glasgow. The project is part of the wider BBSRC-Synthetic Biology Mission Hub – Environmental Biotechnology Innovation Centre (EBIC) and the successful applicant will interact closely with EBIC
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Job Purpose To provide technical assistance and laboratory support to Professor Nigel and his group which is focussed on multiple aspects of spatial biology, in particular spatial transcriptomics