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, machine learning, and photonics. Be part of a multidisciplinary research team spanning science and engineering. Access state-of-the-art laboratories and high-performance computing facilities. Gain
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metabolomics and novel physiological MRI technique development within a translational research environment bridging analytical bioscience and neuro-oncology. Research Environment The successful applicant for a 4
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physiological MRI technique development within a translational research environment bridging analytical bioscience and neuro-oncology. Research Environment The successful applicant for a 4-year PhD studentship
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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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will be curious, analytical, and motivated to tackle real-world problems at the intersection of energy, health, and climate resilience. The research will make a significant societal and environmental
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related to medicines synthesis. Eligibility and Application: We are seeking an enthusiastic and motivated candidate with a strong willingness to learn new disciplines and innovate to achieve project goals
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platform for careers in academia, aerospace R&D, or sustainable propulsion. Who we are looking for We are looking for an enthusiastic, self-motivated researcher with strong analytical skills, an interest in
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using multimodal approaches including advanced imaging, nano-mechanical characterisation and machine learning techniques Developing physics-informed reliability models using experimental datasets
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. We aim to combine Raman spectroscopy, a powerful label-free analytical technique that measures the molecular composition of tissue by using light to excite molecular vibrations, with imaging techniques