1,431 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" research jobs in United Kingdom
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, including a research budget, and act as a source of information and advice to other members of the group on scientific protocols and experimental techniques are highly desirable traits. Informal enquiries may
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-assembly, molecular binding, and catalysis. The project aims to overcome current data and methodological limitations to enable predictive modelling of complex supramolecular systems. This post is fixed term
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@trinity.ox.ac.uk ) by 12 noon (UK time) on Monday 16th March 2026. Further particulars, selection criteria, and information on how to apply for this post can be found on the Trinity College website
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collection. Can demonstrate proficiency in R or Python of data handling and visualisation. Has understanding of marine food web dynamics and trophic models alongside strong quantitative and analytical skills
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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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Medical Research Institute (SAHMRI). This is an excellent opportunity for an individual eager to develop expertise in big data analytics, expand their methodological skillset, and contribute to impactful
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information and advice to other group members and contribute to the preparation of scientific reports and journal articles. You will also occasionally present papers and posters. About You • You must hold PhD
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and interpretation of ancient genetic data from human skeletal material in order to explore genetic diversity within Britannia, alongside genetic kinship and relatedness within cemetery populations
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data and willingness to develop skills in statistical or multivariate analysis are essential. The postholder will work collaboratively with Prof Jesmond Dalli, Prof Ghassan Alusi, Dr Adrian Biddle and
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/UKRI, aiming to advance PD diagnosis and care by developing novel, predictive AI models for personalised PD risk assessment and prognosis based on multi-source patient data and everyday digital