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for Aumovio through close collaboration with its business units. This research position is related to Project C3 “Communication over In-Vehicle Powerline” of the Aumovio-NTU corporate lab Phase 2 program. We
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available in the further tabs (e.g. “Application requirements”). Programme Description Annually, the Canon Foundation in Europe grants up to 15 fellowships to European researchers to enable them to continue
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will contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, computer science, biomechanics, or a related field. Additional
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for Research Fellow in the Infectious Diseases Translational Research Program (IDTRP), Yong Loo Lin School of Medicine. The Infectious Diseases Translational Research Program (IDTRP) is dedicated to advancing
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 1 day ago
: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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(D^3) Institute and the LISH/Data Science & AI Operations Lab seek enthusiastic Postdoctoral Fellows skilled in computer science, statistics, operations research, or related computational fields. As
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned