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Field
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, quantitative field, e.g. atmospheric or climate science, meteorology, computer science, data-science, physics, mathematics, statistics, environmental science or related fields Evidence of a good understanding
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Role type: Full-time ; Fixed-term for 2 years Faculty: Science School: School of Mathematics and Statistics, Melbourne Integrative Genomics (MIG) Salary: Level A.4 - A.6 AUD $100,214 - $108,156
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health researcher is sought with expertise in quantitative surveys, mathematical modeling in nutrition (especially in Sudan), and crisis clinical nutrition program management. The ideal candidate should
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for promoting the career of Women in STEM (science, technology, engineering, mathematics) in higher education. We particularly welcome applications from women for this post and all appointments will be made
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health researcher is sought with expertise in quantitative surveys, mathematical modeling in nutrition (especially in Sudan), and crisis clinical nutrition program management. The ideal candidate should
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As a staff member in the Department of Chemistry within the Mathematical, Physical and Life Sciences (MPLS) Division, you will be working in Kavli Oxford as an interdisciplinary institute where
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Overview We are looking for a clinical research fellow to join the vibrant Clinical Infection Research Group (CIRG) in Sheffield. They will help to work on an exciting project in which we are working to set up a new,human challenge model ofStaphylococcus aureus skin infection. This model will be...
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, or close to completion, in a relevant, quantitative field, e.g. meteorology, machine learning, climate science, physics, mathematics, statistics or related fields. Evidence of good understanding (or capacity
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral