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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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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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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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management—are encouraged to apply. Methodological approaches are flexible and may include qualitative, quantitative, or mixed methods, depending on the research focus. Exemplary research topics include (but
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relevant degree. The post is fixed term and is available for 12 months. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you
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cultures—a powerful 3D ex vivo model—this project will dissect the mechanistic links between mTOR signalling, reactive glial phenotypes, and complement activation. The project will also incorporate human
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models, within the collaborative framework of the AUREUS network. This post is analogous to a PhD studentship, and the postholder is expected to fulfil the Departmental and College requirements to obtain a
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. While autonomy is becoming more integrated into modern mobility, the reliability of Position, Navigation and Timing (PNT) systems—especially in environments where GNSS signals are denied or degraded
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marine and continental processes. However, direct in situ measurements of the processes responsible for methane removal remain sparse. The chemical environment here is shaped by a diverse mix of Saharan
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have had treatment for breast cancer and aims to improve quality of life, reduce sedentary behaviours and improve body composition through ‘Exercise as Medicine’. The project will be a mixed-methods