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of individualisation of training to maximise the adaptive response is as important for team sport athletes as it is for individual sporting pursuits. However, due to the complexity inherent in competition (e.g
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
movements across the cell envelope, to help inform mathematical models that integrate all of the envelope’s function. Uncovering RNA-RNA Networks in the Regulation of Bacterial Surface Proteins: Bacterial
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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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moments. All these factors are highly dynamic in the way they interact to impact racing tactics and trends. The specific objectives include: Historical analysis of racing from the past 3-5 years across
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Phenomena , Cold Atom Physics , Cold Atoms and Molecules , Cold QCD Group , collider physics , Collinear Fast Beam Laser Spectroscopy , Complex Quantum Systems , Computational Materials Sciences
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Type of award Studentship Managing department Department of Mathematics Value This fully-funded studentship includes: Tuition fees at home or international rate Annual maintenance stipend equivalent
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aluminium through AI-driven microstructural analysis. About us The PhD candidate will work at the Division of Data Science and AI , in the neuro-symbolic research group. This group works with combinations
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welcome) Entgeltgruppe 13 TV-L/75% to be filled. Starting date is 10/1/2025. The position is for three years. The positions are advertised as part of the Research Training Group 2491 "Fourier Analysis and
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Identifying and validating models for complex structures featuring nonlinearity remains a cutting-edge challenge in structural dynamics, with applications spanning civil structures, microelectronics
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, Regional Science, Economic/Quantitative Geography, or Mathematics knowledge and experience in spatial equilibrium modeling (e.g., through coursework, thesis work, or previous projects) is beneficial