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: vibration measurement and analysis, AI/machine learning or signal processing Programming experience (e.g. Python, MATLAB, or similar) A creative and analytical mindset with an eagerness to pioneer new methods
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and the use of advanced electrochemical methods and surface analysis techniques. We aim to deepen the fundamental knowledge of electrochemistry and surface science and translate this into practical
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or in protective coatings/linings, in combination with in-situ electrochemistry, e.g. electrochemical noise and surface analysis, e.g. SEM/EDX. Combination of the above with various state-of-the-art
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experiments with representative materials in combination with in-situ electrochemistry, e.g. electrochemical noise and surface analysis, e.g. SEM/EDX. Variables include: Micro-organism(s) Environment (sediment
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Challenge: Distinguish noise and signal in data streams Change: Refined
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Challenge: Distinguish noise and signal in data streams Change: Refined asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job
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in Random Media’. The PhD position focuses on the dynamical behaviour of stochastic partial differential equations (SPDEs). In particular, we will consider the impact that noise terms have on patterns
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technologies such as navigation, positioning, and force sensing, while also enabling fundamental research into questions like the quantum nature of gravity. To bring these vibrating systems into the quantum
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like the quantum nature of gravity. To bring these vibrating systems into the quantum regime, they must be isolated from their environment. One powerful approach is to levitate them in vacuum with
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, community engagement and resilience, supported by laboratory, equipment and expertise of the Dynamics and Vibration research group as well as partners from public outreach and retrofitting consultancy