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on their knowledge and assumptions about the system and its operational context. However, as environmental conditions evolve, these assumptions may no longer hold, leading to inaccurate predictions of adaptation
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thinking and design, under the supervision of Tim Hughes (a researcher in Systems Engineering and its interdisciplinary applications, and a lecturer in Applied Data Science), with co-supervision from
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qualification in ecology, marine biology, data science, environmental sciences, or related fields. Candidates with interdisciplinary backgrounds and strong quantitative skills are particularly encouraged
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. Person specification The successful candidate should have a strong background in microbiology, biochemistry, soil or environmental sciences (BSc/Masters in Soil Microbiology, Environmental Microbiology
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the Environmental Sciences) is a Doctoral Landscape Award with the mission “to train postgraduate research students with excellent potential from across society, equipping them with the necessary skills to become
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Geological Survey, Centre for Ecology and Hydrology, the Natural History Museum and Plymouth Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed
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honours degree or a Masters qualification in ecology, marine biology, data science, environmental sciences, or related fields. Candidates with interdisciplinary backgrounds and strong quantitative skills
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-environmental-changes-and-exploitation/ Further information on how to apply for a CENTA studentship can be found on the CENTA website: https://centa.ac.uk/apply/ Funding notes: This project is offered through
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Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed to train tomorrow’s leaders in earth and environmental science. For further details about
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python