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discipline, including publications in high-quality peer-reviewed journals and presentations at major conferences. Demonstrated high-level mathematical and computer programming skills. Where PhD has been
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to develop data-driven, space-time explicit precision agronomic solutions Utilizing high-performance computing (HPC) systems for large-scale geospatial data processing, model training, and validation Designing
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Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career A beautiful campus set in the heart of stunning Devon. Our Equality, Diversity and
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vulnerable to hardware-level threats, including side-channel attacks, fault injections, etc., particularly when optimized for performance. This Research Fellow position focuses on AI security in the context
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contribute to cargo selectivity. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist
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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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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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engagement and development Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career A multitude of staff benefits including sector leading
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Environmental Sciences, Economic Geology Research Centre (EGRU) and industry partners, the researcher will conduct research, develop and/or contribute to research publications as a member of a high performing