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Field
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Job Description Do you want to figure out why Bayesian deep learning doesn’t work? And afterwards fix it? At DTU Compute we are working towards building highly scalable Bayesian approximations
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Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In this project, we will focus on increasing validity
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radiocarbon dating and Bayesian modelling. The postdoctoral researcher will contribute to an ongoing research project, “Milestone”, headed by Associate Professor Sarah Croix. The appointment begins on 1 April
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of autonomous flow reactors for chemical synthesis. The project aims at 1/ developing a new optimization Bayesian algorithm and 2/ improving the process-control software already developed in the team
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related to staff position within a Research Infrastructure? No Offer Description Support in research on Bayesian optimization methods. Data analysis and modeling. Development of prototypes and software
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Bayesian machine learning for robotics applications in industrial manufacturing and medical diagnosis, SDU Robotics invites applications for one or more fully funded Research Assistant positions
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: Cuantificación de Incertidumbre Bayesiana (Bayesian Uncertainty Quantification, BUQ) Appl Deadline: 2025/10/30 11:59PM * (posted 2025/09/08, listed until 2025/10/30) Position Description: Apply Position