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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 9 hours ago
: Stochastic Analysis Appl Deadline: 2026/03/16 03:59 AM UnitedKingdomTime (posted 2026/01/29 05:00 AM UnitedKingdomTime, listed until 2026/04/01 04:59 AM UnitedKingdomTime) Position Description: Apply Position
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apply at https://careers.epfl.ch/job/Lausanne-Postdoctoral-Position-in-Stochastic-Analysis/1163749755/ . Contact: Bernadette Brun, + 41 21 693 9051 Email: Postal Mail: EPFL SB MATH STOAN MA C2 647
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in statistics and stochastic modeling with applicability in microeconomics, macroeconomie and sustainability are particularly welcome, Experience in previous similar projects will be considered a major
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experience in statistics and stochastic modeling with applicability in microeconomics, macroeconomie and sustainability are particularly welcome, Experience in previous similar projects will be considered a
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is looking to hire a research assistant to work with her at the Barcelona School of Economics on a project studying Statistical inference for high-dimensional stochastic differential equations under
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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must demonstrate that they have contributions and publications in the field of statistics and stochastic modeling in finance, risk management, sustainability, demonstrating expertise and independent
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Qualifications: Research interests in stochastic analysis Experience in teaching and mentoring students IMPORTANT: Applications must also be submitted online at https://isu.wd1.myworkdayjobs.com/IowaStateJobs/job
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position in the area of Learning, Optimization, and Decision Analytics. SCAI (https://scai.engineering.asu.edu/ ), one of the eight Fulton Schools, houses a vibrant Industrial Engineering and Computer
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research project studies financial stability through stochastic models