75 computer-science-"https:" "https:" "https:" "https:" "UCL" positions in United Kingdom
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the supervision of Professor Rosemary Dyson, in the School of Mathematics (in the College of Engineering and Physical Sciences), and interface with the SUM4Products Network. Background The formulated product sector
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. Please explain how you meet the essential criteria outlined in the job description and evidence this with examples. Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical
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development, and a postdoc training programme that prepares scientists for leadership roles in science. If you are interested in applying for this role, please apply via our website . All offers of employment
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, biological data visualisation genetic and developmental basis of craniofacial shape in fish role of divergent natural selection for determining phenotypes phenotypic plasticity mathematical, computational and
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programme (https://www.childsmile.nhs.scot/), funded by the Scottish Government, aims to improve child oral health, and reduce inequalities through universal and targeted interventions within the home
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Our portfolio covers many aspects of parasitology research from molecules to cells and whole organisms to populations. Research activities are based around skills in molecular biology, biochemistry
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) 25 Years of thermomorphogenesis research: milestones and perspectives. Trends Plant Science, https://doi.org/10.1016/j.tplants.2023.07.001 RECROP COST, Integrative approaches to enhance reproductive
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. Nanomaterials 2023, 13, 1190. https://doi.org/10.3390/nano13071190 Mesenchymal Stromal Cell-derived Extracellular Vesicles in Wound Healing Supervisor: Catherine Berry MSc choices: Stem Cell Engineering for
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of the project. The PhD will be in HPE Education or Clinical and Surgical Sciences depending on the project. Applications: Open to prospective doctoral students (doctors and other HCPs) who have an interest in
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. Network Science. Cambridge University Press. 2016. http://networksciencebook.com/ Wu Z, Trevino AE, Wu E, et al. Graph deep learning for the characterization of tumour microenvironments from spatial protein