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networks. You should have experience of building machine learning models for environmental applications. A high level of data science and computational expertise is essential, as is experience with Bayesian
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methods including wiro-binding, comb binding, soft-binding, hard-binding, perfect-binding, saddle-stitching and others Using other print-finishing equipment such as laminators, guillotines, creasers as
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volcanic environments. Development and flight testing will run in parallel with field campaigns at three key volcanic sites: Soufrière Hills Volcano (Montserrat), Fuego (Guatemala), and Lascar (Chile
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and sustainable funding. The post holder will work alongside the Impact Alliance, including it’s ‘Understanding Impact’ sub-group, six ‘enabling organisations,’ and programme delivery ‘change maker
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related to payment security. · You have experience working in a financial environment. · You bring strong numerical, communication, and organisational skills. · You’re flexible and adaptable, with
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of datasets of mammalian vertebral morphology Experience with vertebral biomechanics and/or functional morphology Excellent computational skills demonstrating ability to implement a range of methods in various
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-dimensional niche models, and applying advanced Bayesian spatio-temporal methods. You will: Build n-dimensional abiotic niches for >6,700 species and estimate population positions within them. Quantify niche
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on a high-volume payroll using attention to detail and excellent numerical skills You can work methodically and are able to plan and prioritise a busy workload with strict deadlines Using logical
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engineer proteins, and to model protein structure, dynamics and interactions. This will include developing and testing interactive virtual reality methods and interfaces to computational protein design and
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Computer-aided design (CAD) is widely used in engineering to accelerate and optimize the design process. Applying CAD and related computational approaches to the engineering of biology would have a