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Indian Institute of Science Education & Research Thiruvananthapuram | Thiruvananthapuram AG s, Kerala | India | about 1 hour ago
Indian Institute of Science Education & Research Thiruvananthapuram Position ID: IISERThiruvananthapu -ASSISTANTPROFESSOR [#26664] Position Title: Position Type: Tenured/Tenure-track faculty
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a spatially explicit predictive model for Everglades vegetation dynamics in response to major drivers. The major objectives are to explore the distribution models that discriminate among prairie and
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can be tackled. A video describing the project can be viewed here: https://www.youtube.com/watch?v=IzPuuBnrIDc . The successful candidate will be developing Bayesian models for estimating
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Physics and Number Theory. More broadly, the School also has research strengths in Bayesian and Monte Carlo Methods, Biomathematics, Biostatistics and Ecology, Computational Mathematics, Data Science
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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computational modeling, geometric morphometrics, multivariate and Bayesian statistics, spatiotemporal and spatial modeling (including GIS), causal inference, machine learning, AI, and statistical software
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highly motivated applicants, committed to teaching excellence, for the role of Assistant/Associate/Full Teaching Professor (a non-Tenure-Track faculty position) in Boston, MA with general areas of focus in
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interests in the areas of applied and pure mathematics, and statistics. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary In this position, you will join an established researcher with a track-record of excellent publications and collaborative
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high