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migration corridors – Portugal-Brazil, Netherlands-Turkey, and UK-India. The team consists of the Principal Investigator (PI), Dr. Dora Sampaio, two PhD candidates, and one postdoctoral researcher. The team
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(e.g. micro-droplets). Bottom-up synthetic cells can shed light on natural biological cell functions but can also be used for future industrial applications like biofuel production or in biomedical
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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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. 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