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modelling. You should have: A PhD (or be close to completion) or equivalent research experience in mathematics, bioengineering, engineering biology, bioinformatics, biotechnology or a closely related
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modeling, mathematical biology, biostatistics, statistical methodology, machine learning, or other quantitative approaches relevant to health and biomedical research. This position will be secondarily
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laboratory has recently developed a technology enabling Boolean models to be scaled up to a maximum of 1,000 biomolecules and ABM models to thousands of agents. The PhD student will build on these advances
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highly motivated candidate with a strong interest in the theoretical and practical aspects of computer science, satisfiability, and/or model counting. Candidates should hold a PhD degree (or equivalent) in
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domains where mathematical and computational modeling plays a central role. Where to apply Website https://apply.interfolio.com/192573 Requirements Research FieldMathematics » Applied mathematicsEducation
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modelling. You should have: A PhD (or be close to completion) or equivalent research experience in mathematics, bioengineering, engineering biology, bioinformatics, biotechnology or a closely related
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of engineering biology and computational modelling. You should have: A PhD (or be close to completion) or equivalent research experience in mathematics, bioengineering, engineering biology, bioinformatics
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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
topology, nonlinear partial differential equations, harmonic analysis, geometric analysis, mathematical data science, computational mathematics, bioinformation science, fusion plasma theory and modelling
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Genomics and Therapeutics Division (PI Dr. Simona Migliozzi, PhD) The GarMiglio Lab (https://garmigliolab.com/) led by Dr. Luciano Garofano (Assistant Professor) and Dr. Simona Migliozzi (Assistant Professor
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The candidate will hold a PhD. in oceanography or marine ecology and have significant experience in 3D modeling, ideally at the interface between physical and LTL (biogeochemical) models, between physical and HTL