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Medicine, or a related discipline A strong curiosity for human muscle physiology and medical imaging. Experience with human motion capture experiments. Solid programming skills (e.g., Python, MATLAB
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) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance
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limitations that cannot be overcome with bigger models and larger datasets. A critical issue is the embedding of hierarchies, for which a different geometry is better suited, namely hyperbolic geometry. Seminal
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scientific/technical context The creation of industrial ecosystems, including industrial parks, involves the exchange of resources and sharing of infrastructure among different production systems. In circular
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using
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data analysis tools (e.g., python, R, SQL, Power BI or similar); You are an excellent team-player in an enthusiastic group of scientists and practitioners from different backgrounds; You are fluent in
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ultrafast laser pulses on femtosecond timescales. Combining nanofabrication, electromagnetic simulation, and pump–probe laser measurements, the project will explore how 3D geometry, and different materials
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-specific reference distributions (centiles) and individual deviation scores. This combined approach enables the sensitive detection of menopause-related ageing patterns and quantification of intervention
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant