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Field
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within the group and across Research & Development. Who You Are: PhD in Computational Biology, Computer Science, Applied Mathematics, or similar field Demonstrated record of innovative scientific
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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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Requirements: MSc (Research Associate) or PhD (Research Fellow) in Mathematics or Computer Science or closely related fields. Ability to design and implement advanced algorithms and data structures. Independent
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maintaining scientific standards Qualifications Basic Qualifications PhD in Computational Genetics, Bioinformatics, Biostatistics, Statistics, or closely related field (summer and fall graduates are also
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms (50%). PhD in computer science, engineering
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. You will be responsible
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provided to support research programme costs. Applicants should have, or have submitted a relevant PhD by the start date, have a clear, feasible and relevant research proposal and the ability to manage their
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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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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