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of the) [map ] Subject Area: Stochastic dynamical systems Appl Deadline: 2025/06/02 11:59PM (posted 2025/04/16, listed until 2025/06/02) Position Description: Apply Position Description Join Us! Are you
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(Kingdom of the) [map ] Subject Areas: Stochastics, artificial intelligence and machine learning Appl Deadline: 2025/06/02 11:59PM (posted 2025/04/02, listed until 2025/06/03) Position Description: Apply
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lines: PGMs for decision support systems and foundations of stochastic computing. The first line focuses on aspects such as explainability, trustworthiness, maintainability, and online or federated
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, and stochastic optimization, embracing an interdisciplinary approach. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced Computer Science. More
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: (1) PGMs for decision support systems, and (2) foundations of stochastic computing. The first line focuses on explainability, trustworthiness, maintainability, online or federated learning in Bayesian
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. Familiarity with macroeconomic dynamic stochastic general equilibrium (DSGE) models or survey design is encouraged and greatly beneficial. We are looking for ambitious, highly motivated candidates who wish
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the overall structure of the cosmic web are the various versions of the scale-space MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical
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analysis, numerical analysis, applied stochastics, mathematical physics, algebraic geometry, algebraic topology, noncommutative geometry, and number theory. Take a look here for more about the Department’s
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MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical inventory, a major incentive for the project is the application and
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. We are looking for a self-motivated and creative researcher with a strong background in multi-objective optimization, stochastic optimization, and machine learning. Industrial experience in digital