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Mathjobs.org | about 1 month ago
The Postdoctoral Fellow in Bayesian Computation will support the development of statistical methods based on Bayesian recalibration techniques using flexible transforms of surrogate models. These
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The Postdoctoral Fellow in Bayesian Computation will support the development of statistical methods based on Bayesian recalibration techniques using flexible transforms of surrogate models. These
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(NSSD). In this role, you will conduct fundamental research into the integration of Bayesian methodologies with system dynamics modeling, advancing statistical methods and the open-source scientific
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The Materials Science Division at Argonne National Laboratory invites applications for a postdoctoral appointment focusing on the project of axion dark matter detection with magnon quantum sensing
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researcher to develop innovative quantitative weight-of-evidence approaches based on Bayesian networks for environmental burden of disease studies. The project aims to establish a novel framework for
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analytical technology (PAT) adds cost, time, and introduction of human error. This project aims to develop a novel, label-free microbial detection method, coupled with machine learning tailored for
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Vacancies PhD position on explainable DeepFake detection using Foundation models To vacancy overview Apply now EEMCS PhD PhD position on explainable DeepFake detection using Foundation models Are you
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imaging and contribute to demonstrating focal-plane-array coherent THz detection. Your main tasks will include: Design AlGaAs metasurfaces for enhanced nonlinear THz-to-NIR conversion. Design metallic
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Postdoc in eDNA technology for early detection of forest pathogens Umea Department of Forest Bioeconomy and Technology We are seeking a motivated postdoctoral researcher to develop and apply
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coordinate individual unmanned underwater vehicles (UUVs) and entire swarms based on local information, for anomaly detection and infrastructure surveying in environments where communication is