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candidate will investigate novel sensing methodologies, develop physics-informed computational models, and apply state-of-the-art machine learning techniques to extract meaningful information from complex
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Job vacancy starting: 01.10.2026 | Working hours: 30.00 | Classification CBA: §48
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Work Activities This fully funded PhD position lies at the interface between fundamental physics and industrial application. It is part of activities in ARCNL’s Source Department. The research
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of research proposals, progress reports, and manuscripts, and require communication with multiple co-investigators and collaborators. Knowledge of the NIH grant submission process is preferred. Biostatistical
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application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position We invite applications for a PhD research
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very challenging, active matter research presents great opportunities for finding novel physical mechanisms and for using such systems in possible applications. In this PhD project, we will combine
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, humanities and social sciences Need help understanding the process? Visit our scholarship guide Application How to apply You must submit an application and include your research proposal and an outline for a
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diagnosis methods that combine analytical approaches based on drivetrain physical properties with AI-driven data analysis techniques to enhance the accuracy and effectiveness of fault detection and
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and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply