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. Develop novel Bayesian frameworks for orbit determination, relative navigation, and maneuvering target tracking under uncertainty. Develop and integrate estimation algorithms within closed-loop GNC systems
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 16 days ago
frameworks and contribute to the development of Bayesian hierarchical models for basket trials targeting rare diseases with shared molecular etiologies. The research supports FDA's mission to facilitate
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real-world field data. The central research question of this thesis is: How can Extreme Value Theory (EVT) and Bayesian Networks (BN) be coupled to build a predictive and dynamic model of NaTech risk
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that explicitly account for drift and open-set contamination. O2: Robust uncertainty estimation: Improve calibration and uncertainty reliability under drift (e.g., ensembles, Bayesian approximations, conformal
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 5 days ago
research program, particularly the team working on the Targeted Project « Resilience » within that program. He or she will also be integrated into the work of the international organization WORLDFISH
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learning or deep learning, preferably with transformer architectures Experience in probabilistic modelling or Bayesian statistics Programming skills in Python, preferably with PyTorch or similar frameworks
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on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver targeted advertising. Personvernregler for databehandling: Youtube, Google
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on methodologically challenging and clinically relevant questions using a richness of data. Responsibilities include the statistical design and analysis of randomized clinical trials, target trial emulation using
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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their dynamics to be formulated as systems of linear ordinary differential equations. Bayesian Optimization and Reinforcement Learning methods will be employed to solve the inverse problem of shape and flexibility