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Field
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research position is available for a highly motivated individual with strong expertise in modeling and simulation of biochemical reaction systems, with a focus on mRNA production from DNA templates
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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be jointly supervised by Professor Jørgen Ellegaard Andersen and Associate Professor Shan Shan at QM. Candidate profile We encourage applications from PhDs in mathematics and related fields who possess
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epidemiological modeling. Prior experience with mathematical modeling of vector-borne disease and gene drive control systems. Knowledge, Skills, and Abilities Programming skills in R or Python. Ability to work
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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics, funded by the High Energy Physics group's STFC Consolidated grant
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for the game changing impact of our science globally. Click here to find out more about working at the John Innes Centre. About the Howard Group: The Howard group combines mathematical and biophysical modelling
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activities in circuits of murine models of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Qualifications: PhD in computational neuroscience
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of virus evolution into mathematical models of spillover infection and transmission of prototype viruses representing viral families concern to support the development of methods for virus sequence analysis
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of relevance: Documented expertise and skills in mathematical modelling of community dynamics is a requirement, and proficiency in statistical time series analyses in community ecology is desirable. Skills in