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Field
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, with a median survival of less than 15 months despite standard-of-care interventions such as surgery, radiotherapy, and temozolomide (TMZ). Recurrence is nearly universal, driven by intrinsic tumour
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should hold, or be expecting to obtain, at least a 2:1 honours degree or MSc with Merit (or international equivalent) in a relevant subject. Potential PhD Project Areas Plant reproduction Cell signalling
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point-of-care diagnostic sector, funded by an APEX award from the Royal Society. This research project aims to generate critical conversations and influence sustainable decision-making in the lateral flow
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
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on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting academic will not be told
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are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats
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are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats
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of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that