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frameworks and transformer architectures applied to biological sequences would be advantageous. You should have a PhD in bioinformatics, evolutionary biology, machine learning or similar. The post fixed term
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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to conduct multidisciplinary research around robot learning for autonomous robotic chemists, with a background of excellent research outputs across Robotics and Machine Learning, ideally with a background in
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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, including engineers and veterinarians, to assess the effectiveness of the AG ARC machine. About You This position is ideally suited to a microbiologist with strong laboratory skills and an interest in applied
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activities, and will be supported to develop their own independent research trajectories and career pathways throughout the project with access to bespoke training and conference budgets. You should have a PhD
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findings You should have a relevant PhD qualification and experience of conducting qualitative research. You will be working in the Department of Primary Care and Mental Health and at NHS sites in the North
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environment, and benefit from diverse project team skill and expertise. The successful candidate should have a PhD in cartilage, stem cell or protease biology (or a related discipline). Expertise in mammalian
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. You will also contribute to publications and grant applications. Training will be provided as needed. You should have a PhD degree in a biomedical science-related subject and significant experience in
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should have a PhD degree in Biochemistry, Biomedical Science, Biological Sciences, Omics science, Microbiology or a related discipline and experience of applying mass spectrometry in human signalling