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Field
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analytical skills, with proficiency in Python or Julia. Experience in statistical modelling, parameter estimation, or uncertainty quantification (e.g. Bayesian inference or global sensitivity analysis
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physics-informed digital twin for offshore wind foundations, combining ultrasonic guided wave monitoring, high-fidelity finite element simulations, Bayesian inference, and machine learning. Guided waves can
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and neural network methods will be used to transfer diagnostic capability between structures in a population. Bayesian approaches will also be emphasised. The Research Associate will take a leading role
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systems with a focus on optimal filtering (Bayesian filters, e.g., Kalman/particle filters) in the context of indoor/outdoor navigation as well as in the application areas of autonomous platforms and
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of Mathematics at Radboud University (Nijmegen, Netherlands), and join the research group of Laura Scarabosio, funded by the NWO Vidi programme ’Taming Frequency in Bayesian Inverse Wave Scattering’. Inverse wave
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
desired, the project provides opportunities to be involved in Bayesian analytic methods and health economic studies. The final salary and offer components are subject to additional approvals based on UC
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measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more
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Bayes factor hypothesis tests in factorial designs. What are you going to do The envisioned projects will focus on the following activities related to Bayesian inference in factorial designs: Construction
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chemistry concepts (desirable). Familiarity with chemical or biological databases (e.g., ChEMBL, PubChem, PDB) is a plus. Experience with Bayesian modelling, transfer learning, few-shot learning, or other
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the student to guide the research, but preliminary ideas include: Exploring whether suggested discharge limits derived from single organism experiments are protective of microbial communities; Using Bayesian