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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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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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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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process. City: Ottawa Organizational Unit: Construction Classification: CS-3 Tenure: Term Duration: 3 years Language Requirements: English Work Arrangements: Due to the nature of the work and operational
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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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the same funding source and/or for the same purpose Application process Step 1: Access application form Application form can be accessed via the ‘My Studies’ tab in OASIS or via the ‘Apply Online’ button on