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university degree and a Ph.D. (or equivalent experience) in mathematics or a closely related field is required. Moreover, the candidate should be familiar with statistical/logical knowledge representation
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of computer science, mathematics, applied mathematics or statistics. Applicants must demonstrate proficiency in machine learning or statistical modelling and have some experience with computing through Python, R or C
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the School of Mathematics, Statistics & Physics carries out world-class research in modern statistics and data science, with strengths in applied statistics and machine learning, applied probability
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for blockchain-based systems. Develop mathematical and computational models for simulating and analysing various economic properties of blockchain-based systems. Design and evaluate token economies and governance
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strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of
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Institute of Mathematics,Henan Academy of Sciences Position ID: 3397 -SCIENTIFICRESEARCH [#24467] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Zhengzhou, Henan
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. To be successful in this role you need to have the following qualifications Ph.D. degree in mathematics, physics or other subject of relevance for the position M.Sc. degree in mathematics, physics
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You will be a member of the Particle Physics and Particle Astrophysics (PPPA) group in the School of Mathematical and Physical Sciences. We are seeking to appoint three fixed-term Research
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the field of model-driven and data-driven computational science. Job description Are you interested in bridging the gap between mathematical sciences on the one side and natural sciences, engineering and
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Fudan University, School of Mathematical Sciences Position ID: 2497 -YR [#24715] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Shanghai, Shanghai, China Appl