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Field
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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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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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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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inverse problems. The team aims at developing Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In
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Bayesian Index Tracking: optimisation by sampling School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Kostas Triantafyllopoulos, Dr Dimitrios Roxanas Application
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Intensive Care National Audit & Research Centre - ICNARC; | London, England | United Kingdom | 2 months ago
Clinical Trials Unit (CTU) that is designing and delivering cutting-edge clinical trials employing frequentist and Bayesian methods in adaptive and platform trial designs. We are looking for a Principal
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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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-represented backgrounds. The objective of the research project is to perform Bayesian inversion to characterise the velocity field of 3D partial differential equations describing brain fluid and solute movement
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Bayesian risk quantification for accelerated clinical development plans (C4-MPS-Oakley) School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students Worldwide Prof J
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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