15 computer-science-intern "https:" "https:" "https:" "https:" "P" positions at University of Glasgow
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of Cancer Sciences within the College of MVLS. The appointee will be expected to: - Develop a programme of research under supervision of senior investigators in the School of Cancer Sciences, in a
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of the company’s strategic aim of delivering a high quality student experience. This will involve liaison with the School of Engineering, the School of Computing Science and the School of Nursing at the University
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Job Purpose To lead on the design, delivery, and evaluation of a leadership development programme for funded project leaders, to support delivery of a large-scale multi-partner project: ‘InFrame
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International Review of Cell and Molecular Biology (Elsevier, 2018; https://linkinghub.elsevier.com/retrieve/pii/S1937644817300825)vol. 335, pp. 41–84. The molecular basis of cell self-renewal and pluripotency in
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basis of sensory systems in health and disease. Chronic pain can arise from the skin, from joints or from internal organs and in these projects, we will aim to identify circuits in the spinal cord
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proteomic data. Cell. Signal. 88, 110154 (2021). J. P. Mitchell, R. J. Carmody, “NF-κB and the Transcriptional Control of Inflammation” in International Review of Cell and Molecular Biology (Elsevier, 2018
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: Ridone, P., Vassalli, M. & Martinac, B. Piezo1 mechanosensitive channels: what are they and why are they important. Biophys Rev 11, 795–805 (2019). https://doi.org/10.1007/s12551-019-00584-5 . Lüchtefeld
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be expected to: - Develop a programme of research under supervision of senior investigators in the School of Cancer Sciences, in a subject area in basic and/or translational and/or clinical and/or
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(Berriman ) molecular basis of sexual development in Plasmodium (Waters ) genetics and biology of the interactions between P. falciparum and the mosquito vector (Ranford-Cartwright ) ecology and behaviour
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of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides. arXiv. 2023 Albert-László Barabási. Network Science. Cambridge University Press. 2016. http