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research will focus on developing Bayesian Optimization of Experimental Design (BOED) algorithms. These algorithms aim to cost-effectively accelerate reliability tests for TM-GSES components, maximizing
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manufacturing. The role sits within the £13M EPSRC Hub for Advanced Long-Acting Therapeutics (HALo) (https://www.liverpool.ac.uk/celt-global-health/halo/), a nationally leading initiative spanning universities in
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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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and propagate uncertainty from image features to predicted PEMWE behavior. Bayesian experimental design and process optimization. The digital twin will form the basis for Bayesian optimization
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hundreds of hours of exposure) in order to estimate systematic errors. - Develop open-source analysis pipelines for extracting diffuse emission from objects with very low surface brightness. Take into
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. Using existing data, the incumbent will estimate abundance, survival, recruitment, and movement rates for two sturgeon populations. The incumbent will use estimates to parameterize a demographic
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10 Apr 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Control engineering Researcher Profile
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22 Apr 2026 Job Information Organisation/Company Radboud University Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
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, i.e. interconnected ecosystems). Recent developments have indeed sought to establish the link between scales using Bayesian dynamic networks (Trifonova et al. 2025). This article proposes a strategy
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representations with probabilistic heads (GPs, Bayesian neural networks) for calibrated uncertainty estimates. Finally, the PhD candidate will focus on \textbf{active learning / adaptive design} for MF settings