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courses on topics such as differential equations, complex analysis, measure theory, probability, or stochastic processes. The faculty member should have a strong potential for collaborating in current and
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understanding. You will be supervised by Svenja Fischer, Ryan Teuling and Claudia Brauer. Where to apply Website https://www.academictransfer.com/en/jobs/357376/phd-candidate-ml-based-predicti… Requirements
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courses on topics such as differential equations, complex analysis, measure theory, probability, or stochastic processes. The faculty member should have a strong potential for collaborating in current and
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electromagnetic cascade to be obtained. The initial results obtained with a small prototype subjected to cosmic rays and particle test beams at CERN are promising. They show that a stochastic sampling term of order
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
, non-linear partial differential equations, harmonic analysis, geometric analysis, mathematical data science, computational mathematics, mathematical physics, probability/stochastics, and applied
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, scientific computation, probability, optimal control, ordinary, partial, and stochastic differential equations, and dynamical systems; and applications of mathematics to biology, finance, and industrial
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% superannuation Terms: 2 x Full-time, fixed term (up to 2 years) (1 x Female identified position) Position Description and Selection Criteria: http://jobs.anu.edu.au/cw/en/job/560601?lApplicationSubSourceID
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, Denmark [map ] Subject Areas: Nonparametric estimation, Machine learning methods in econometrics and time series analysis, Statistics for high-dimensional data, Stochastic volatility models Appl Deadline
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of partial differential equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in
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(deterministic, stochastic, robust, reinforcement learning–based) • Systems architecture and design for complex socio-technical systems • Graph theory, network science, and knowledge representation • Agent-based