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programming skills (Fortran, Python or similar); affinity with spatiotemporal data analyses and numerical modelling; strong reporting and presentation skills; a good level of written and spoken English. Our
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related field; experience with numerical modelling, preferably hydrological modelling; affinity with delta systems, adaptation and policy analysis; motivation to work in interdisciplinary scientific
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health behaviour. Using a novel combination of deep learning, street view imagery, and epidemiological methods, we aim to identify the most effective urban exposure modifications. This research will
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visual, digital and/or creative methods; excellent planning and organisational skills (including meeting project goals and deadlines), ability to take initiative, and present research findings for wider
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experience in working with visual, digital and/or creative methods; excellent planning and organisational skills (including meeting project goals and deadlines), ability to take initiative, and present
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supporting the clinical programme in all activities related to the in vitro production and preservation of equine embryos (ovum pick-up, oocyte maturation, intracytoplasmic sperm injection, IVF, embryo culture
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formation via modifications to sedimentary redox reactions and sediment stabilisation, providing microenvironments favorable for organic matter preservation. A personalised training programme will be set up