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Field
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generalised theoretical framework for quantum repeater architectures. Investigate and compare specific QKD protocols; Model realistic device imperfections by incorporating loss, noise, and other experimental
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-frequency characterisation. Investigate and minimise measurement artefacts associated with grounding, shielding, impedance, parasitic effects, noise and signal integrity. Characterise and compare different
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
facilities. Analyze experimental data and develop or adapt data-analysis workflows, including scripting in Python or comparable tools. Combine spectroscopic information with catalytic performance data and
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an error, GNSS-IR analyses variations in signal-to-noise ratio (SNR/CN0), phase and related observables caused by interaction of the GNSS signal with the land surface. These reflected signals contain
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sciences, biomedical engineering, or psychology; good command of English (minimum B2 level); proficiency in using data analysis software (familiarity with Spike2 software is an additional asset); basic
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Department. About the project TrainGate uses trackside inspection portals to monitor passing trains at operating speed. Images, acoustic and vibration signals, and identification data are combined to detect
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inspection portals to monitor passing trains at operating speed. Images, acoustic and vibration signals, and identification data are combined to detect and track defects in wheels, brakes, pantographs and
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image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation while remaining robust to noise
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therefore essential. Despite widespread deployment, existing CMS solutions are predominantly based on vibration measurements from accelerometers mounted on drivetrain components, and their performance remains
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observations of sub-Neptune exoplanets, with a focus on the most promising water world candidates. Develop analysis techniques to disentangle planetary signals from instrumental artefacts and stellar noise