377 postdoctoral-image-processing-in-computer-science-"EPIC" positions at University of Glasgow
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, physical sciences, or informatics. They will need to have completed the relevant NHS Practitioner Training Programme and/or NHS Scientist Training Programme, or equivalent, and be currently clinically active
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scientists, bioinformaticians, clinicians, and experimental scientists. References Fu X, Sahai E, Wilkins A. Application of digital pathology-based advanced analytics of tumour microenvironment organisation
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objectives. 5. To interact with other computational biology researchers at the MRC-University of Glasgow Centre for Virus Research. 6. To develop and enhance your individual research profile and reputation and
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continually improve, diving into the detail as necessary to understand issues (people, process, and technology). C6 Ability to build and maintain broad network of relationships with diverse stakeholder groups
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Job Purpose This role is to provide operational and strategic leadership in the provision of research computing infrastructure services within the College of Medical, Veterinary and Life Sciences
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a variety of transferable skills, including research design, execution and reporting; cell imaging and quantitative analysis; geochemical processing; and statistical analyses. Such skills are highly
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of administrative support to academic colleagues involved in taught courses and degree programmes. Main Duties and Responsibilities 1. Responsible for the delivery of an efficient and effective programme and course
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Job Purpose The Research Computing as a Service (RCaaS) Research Software Engineering (RSE) lead is responsible for the development and delivery of software engineering services for the University’s
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Job Purpose School of Chemistry To demonstrate the use of practical equipment (including where relevant, software packages), experiments, exercises, techniques and/or processes that may form
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IPhD) Supervisor: Dr Andrew Hamilton MSc choices: Biomedical Sciences [MRes] , Biomedical Sciences [MSc] Research areas: fundamental cell biology, non-coding RNA, mitosis, cancer, CRISPR, RNAseq Project