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subjects related to Mathematics for Economics, specifically in the Bachelor's Degree in Economics (subjects: Mathematics for Economics I, II, III, and IV, and Bayesian Methods). Additionally, the candidate
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-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department Contact for Questions Songhu Wang (sw121@iu.edu) Additional
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of the future, striving to improve healthcare and society as a whole. Where to apply Website https://www.academictransfer.com/en/jobs/356668/phd-in-machine-learning-for-dru… Requirements Specific Requirements
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Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational
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phylogenetic reconstruction and genetic diversity analyses using Bayesian and maximum likelihood frameworks (e.g. BEAST, IQ-TREE). Develop, document and maintain reproducible bioinformatic pipelines following
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. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models for long-term forecasting. Collaborate closely with
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School of Mathematics and Statistics is seeking to recruit a post-doctoral researcher with experience in statistical modelling, Bayesian methods and related computational skills. This is a temporary, 21
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" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding. South Carolina
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algorithms using Monte Carlo simulation and Bayesian inference to distinguish normal tritium losses from suspicious discrepancies during transport, and to develop statistical thresholds that balance detection
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
for individuals that are interested in pursuing a PhD in economics or finance. The chosen candidate will also gain valuable experience in the application of machine learning and Bayesian inference methods