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Field
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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of breakthrough nature and contributing to research proposals. Administrative responsibilities may include safety management, asset management, and other duties as required. Job Requirements: PhD in Electrical
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will be part of a team that already uses machine learning to improve online accelerator models and that develops correction algorithms for accelerator operations. This position is for a 2-year research
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appropriate related research duties to further the mission of NPRE. Minimum Qualifications : PhD in bioengineering, electrical engineering, nuclear engineering (with PhD thesis in radiological science and
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subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software Engineering, Database Design, both at undergraduate and postgraduate level. Applicants may hold a PhD in
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Reconfigurable metamaterials for mmwave applications School of Electrical and Electronic Engineering PhD Research Project Directly Funded Students Worldwide Prof Lee Ford, Dr Stephen Henthorn
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Atmospheric Sciences, Earth Science and Geology, MS degrees in Earth System Science and Climate Science, and a PhD in Climate Dynamics. Our faculty includes geologists, atmospheric scientists, paleontologists
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procedures (e.g., multilevel modeling, longitudinal data analysis, machine learning algorithms), cleaning and structuring large datasets, validating model assumptions, and ensuring reproducibility. Synthesizes
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of AI-driven Traffic Control and Antifragility in Urban Mobility Systems. The successful candidate will join a dynamic
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Preprocessing · Feature Engineering · Algorithm Optimization · Model Validation and Testing · Real-Time Deployment Readiness · Collaborate with Clinical and Epidemiological Teams