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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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candidate will work on an interdisciplinary Human Frontier Science Programme grant to unravel the functional ecology of heterotrophic protists, combining behavioural assays, ultrastructural and morphological
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Research Hub. Funded by the Higher Education Authority of Ireland, SLSS is an ambitious programme of activity. It brings together two academic institutions (University of Limerick and Queen’s University
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) in joint homeostasis. The successful candidate will work in close association with other lab-based scientists and computational biologists in the Croft lab as well as collaborators in Great Ormond
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structured development programme and provision of both formal and ‘on-the-job’ training. The posts are also open to those who are returning to academia after a career in another sector. Successful applicants
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The MRC Centre for Medical Mycology (MRC CMM) seeks an experienced assay development scientist to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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the project and the Programme team Contribute to writing bids for research funding Contribute to Departmental/School research-related activities and research-related administration Contribute to enterprise
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(Maternity Cover) to support teaching on the mentorship programme and the evaluation of the online MSc Sexual and Reproductive Health Policy and Programming (SRHPP) which is co-delivered with the University