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of the Nuclear Physics group is focused on the study of atomic nuclei under extreme conditions, e.g. nuclei at high excitation energy at the transition from quantum order to chaos, exotic nuclei with an unusual
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of three topics: 1. Combining synthetic aperture radar (SAR) images with probabilistic weather prediction models to view and predict dynamic sea ice properties. 2. Using multi-frequency SAR, coupled with in
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particular to the development and validation of novel computational language models, algorithms, and tools for spoken language-based cognitive tests for low-resource languages, and their integration with
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the overall objective of the PhD work. Some potential specific research objectives: Model the coordination and interactions between power producers and system operators (DSOs and TSO) in scenarios
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, PBAT, PBSAT, PBSA, Bio-PES) which are used for biodegradable fibres, twines, nets and ropes. The research work of the candidate shall contribute to develop new models and knowledge on degradation
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or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling, programming, systems thinking, and qualitative