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available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, engineering, statistics and applied mathematics with experience and/or growing interest in
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. This position will involve research using statistical and mathematical modeling in topics related to tropical influenza epidemiology, avian influenza emergence, seroepidemiology, and vaccination to manage
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
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mathematics, bioengineering, chemistry, chemical engineering, or a related field of experience. Excellent verbal and written communications skills, as well as oral presentation skills. Organization and time
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, provincial and municipal talent programs. Requirements: Ph.D. in Mathematics, Cryptography, Computer Science, or closely related areas. Proven track record of research in post-quantum cryptography, or a
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for optimizing the energy consumption, mathematical models for digital twin technology, and minimum interoperability mechanisms for streamlining the integration across devices, consumers, and technologies. You
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*) in Bioinformatics, Data-Science or a closely related area such as computer Science, or mathematics * If PhD pending, it must be conferred less than 3 months after closing date. Significant, relevant
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RIKEN, Center for Interdisciplinary Theoretical and Mathematical Sciences Position ID: RIKEN -iTHEMS -RSMURASEW25015 [#29940] Position Title: Position Location: Wako, Saitama 351-0198, Japan [map
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Anomaly Detection Apply for this job See advertisement About the position The University of Oslo, Department of Mathematics, Section for Statistics and Data Science invites applications for a postdoctoral