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experience in the area of imaging, materials characterisation, physics, engineering, chemistry, mathematics, computer science, advanced manufacturing, or related fields.
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Would you like to use cutting-edge artificial intelligence to solve real-world physics and engineering problems that matter? This fully funded PhD studentship offers an exceptional opportunity to do
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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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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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-like dynamics in synthetic systems remains a major challenge across physics, chemistry, biophysics, and materials science. In this PhD project, you will: § Develop an experimental platform to study 3D
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and its supporting infrastructure • realize on-chip pulsed DNP • design microwave pulse sequences for on-chip DNP using spin physics, numerical simulation tools, and quantum optimal control
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
possible and is limited to three years. Understanding how solids form from fluids is one of the most fundamental questions in the physical sciences. Solid assembly is pivotal to both natural and industrial
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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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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