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associate with expertise in data science to join the King’s BHF Centre of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key
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informatics experience in large scale academic projects and/or industry environment. Strong grasp of study design, power calculations, and statistical methods, with scientific rigour in planning and
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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research methods (including research ethics, interviewing, and analysis using software programmes such as NVivo. Strong experience in community engagement (preferably with minoritised ethnic people
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Institute and RiverD International. The successful candidate will adapt existing and develop and test new methods for detecting metastatic lymph nodes based on their molecular signatures as captured by AF and
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will compare the development of annelids and molluscs and combine single-cell transcriptomics with classic embryological approaches and state-of-the-art computational methods. The findings from
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An interest in outreach across policy and civil society and making computation methods accessible. Desirable criteria Experience with independent system dynamic modelling (e.g. not using software such as Vensim
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at the intersection of education, mental health, and developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from
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of York. Based within the Addictions Department at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), the post-holder will support a five-year programme of research across three priority areas
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applicant will be supported in conducting quantitative research (e.g. multinational surveys, online experiments, analysis of existing data sets, computational textual analysis, etc) in this area of research