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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI
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will need good communication skills, and will be able to work with and disseminate information to both academic and non-academic audiences. You will have a PhD in medical or bio-informatics, epidemiology
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will need good communication skills, and will be able to work with and disseminate information to both academic and non-academic audiences. You will have a PhD in medical or bio-informatics, epidemiology
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sustainable forestry practices. You'll conduct field-based surveys, analyse natural capital values, and perform carbon life-cycle analyses across eastern Victoria's agricultural landscapes. This position offers
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and supervision of research students, primarily at the undergraduate level. You may be a great fit if: You are a dedicated researcher with a PhD in forest ecology or a related field, possessing strong
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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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stakeholders to drive sustainable forestry practices and regional development. You may also: Hold a PhD (or be near completion) in a relevant social science discipline, such as environmental sociology or natural
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translate world-leading research on scientific understanding of disease mechanisms into innovative therapeutic approaches. Our vision is to play a leading role in discovering new medicines in areas of high
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Government policies and to inform innovation for industry leading to increased economic growth. Our main source of funding is from the Scottish Government funded Strategic Research Programme (SRP) which we
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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering