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Department of Computer Science The Department of Computer Science at Vrije Universiteit Amsterdam is an internationally recognised centre of excellence, advancing the full spectrum of Computer Science in both research and education. It comprises approximately 230 staff members and is organised...
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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, and network traffic is measured on links rather than routes. Bayesian inference then requires sampling latent variables that satisfy exact constraints. Standard Markov chain Monte Carlo (MCMC) methods
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Website https://phd.fbk.eu/calls/detail/formal-verification-of-configurable-safety-crit… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Additional Information Work Location(s
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-driven methods for autonomous underwater vehicles (AUV’s). The work builds on a strong foundation in time-series modelling, stochastic processes, statistical learning, and uncertainty quantification, with
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vehicles or robotic systems. Additional training in machine learning methods is an advantage. Solid programming skills. Strong skills in mathematics, excellent capacity for mathematical formalism, and
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, catalysis, and medicinal chemistry? We, Wageningen University and Research, have a vacancy for a PhD in New Synthetic Methods for Prodrug Activation. We are offering a 4-year PhD position in the Laboratory
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16th October 2026 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD Candidate in Hybrid Learning-Control Methods for Autonomous Underwater
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This post (Research Assistant/Associate in Computational Methods for Structural Wing Design) will allow you to contribute to a major industry-funded project developing the next generation of
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the best outcome. Precision medicine methods leverage individual-level characteristics to help optimise treatment choices for individuals. This project will leverage recent advances in Bayesian statistical