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research that together enhance our contribution to society. Required Qualifications* PhD in computer science, engineering, applied mathematics, statistical physics, biology, or a related field. Reasonable
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Salary RT 4a+: £31,637 to £46,735 per annum (pro-rata if applicable) depending on skills and experience (minimum £35,116 with relevant PhD). Salary progression beyond this scale is subject to performance. RT 5: £45,413 to £57,422 per annum (pro-rata) We are now recruiting an Associate/ Fellow or...
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). Discipline(s): Computer, Information, and Data Sciences (1 ) Earth and Geosciences (1 ) Environmental and Marine Sciences (6 ) Life Health and Medical Sciences (2 ) Mathematics and Statistics (1
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. • Willingness to work both individually and with a team. • Ability to write mathematical proofs, to design experiments, and to code. More Information Location: Kent Ridge Campus Organization: College of Design
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field relevant to the interface of energy technology, economics, data science and public policy. Examples of relevant disciplines include (but are not limited to): any physical, mathematical, computer or
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School of Mathematics and Physics Full-time, fixed-term position for up to 2 years Base salary will be in the range of $82,057.75 - $109,246.18 + 17% Superannuation (Academic Level A) Based at our
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skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates
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across the lifespan. Key Research Areas Elucidating biophysical principles of protein-metabolite interactions under identified stress conditions Developing mathematical frameworks to model proteostasis
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its future and associated space-weather hazard over the next 20 years. You will have a PhD (or close to completion) in geophysics, physics, applied mathematics or similar highly numerical discipline
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description The candidate will work on problems at the intersection of mathematical statistics, machine learning, and generative modeling, particularly for sequential data arising in complex dynamical systems