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biological properties of LATs, including particle size, degradation rate, and drug release profiles. You will build representational methods for APIs and excipients, apply Bayesian optimisation to experimental
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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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prompted by the same environmental stressors across a species’ geographic range and through time. The post holder will develop a new Bayesian model, MESS, to analyse the dynamics of extirpation. The MESS
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environmental stressors across a species’ geographic range and through time. The post holder will develop a new Bayesian model, MESS, to analyse the dynamics of extirpation. The MESS model will adapt
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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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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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expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry, etc. We work on a variety of learning problems, especially those involving supervised
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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specimens to estimate historical age structures over the last 150 years. Forecasting Shifts in the Pollination Service Window. The researcher will use Bayesian inference (e.g., Integrated Nested Laplace
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environment with chemists, electronic engineers, and domain scientists. Main Tasks and responsibilities: Develop the MMPI-BO (Multimodal Physics-Informed Bayesian Optimization) optimization engine. Implement