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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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stimulating discussions with a cross-disciplinary research network, including leading experts in journalism and documentary studies and experts in psychotherapy; the rare opportunity to combine media research
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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to scientific dissemination Participating in international activities and networking (e.g. conferences) Carrying out review of existing literature Carrying out Parametric Finite element simulations by use
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population genomics protocols will be provided by our collaborators at the European Population Genomics Consortium – LepEU (https://lepeu.github.io/ ). Multiple avenues for international networking, hands
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, molecular and optical physics, physical chemistry, spectroscopy Experience with: Femtosecond time-resolved spectroscopy Molecular-beam setups and photoelectron/-ion detection Hardware-related software
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mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent
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, and API misuse scenarios are underexplored areas, lacking robust frameworks to systematically address them. The research project of the PhD student will thus focus on defining a rigorous testing
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the Department of Biomedical Engineering at Swansea University, but you will also interact closely with our national network of clinicians from across the UK. This ensures the project stays grounded in clinical
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. Furthermore, we use the olfactory network as a model to study the dynamics of neuronal development, synaptogenesis, neuronal degeneration, and regeneration. Our research is complemented by behavioral studies