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sequence or structure analysis, machine-learning method development, and modern software engineering practices. They should be proficient in Python and Linux-based development, familiar with deep learning
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investigators). • Processing and analysing ICESat-2–derived wave attenuation (damping) data (2018–present) to support algorithm development and evaluation. • Integrating machine learning where appropriate
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disease”, promoting the development of new methods to replace the use of animals in medical research and delivering solutions that are both more humane and support better scientific in an area where current
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propulsion, interaction with biological environments, and their potential use in targeted delivery, imaging, and therapeutic functions. Key responsibilities include: Design and development of light-driven
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. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable
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, tissue engineering, device and diagnostic technology development, and clinical research. Strong educational support is provided to both undergraduate and postgraduate students and we seek to appoint
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development to have real-world impact and contribute to a dynamic and enthusiastic research team. As a Quantitative Research Fellow, you will: Lead and support the design, programming and implementation
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procedures using mainstream proof assistants is desirable. Role Summary • Carry out research within the specified research grant area, theory of programming languages, including the development of proof
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a novel human challenge model involving the administration of S. aureus in the presence of a surgical suture - a world-first study essential for advancing vaccine and therapeutic development. We
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goals including the next logical step in their research and research training, goals for research development including alignment with the goals of the T32, and interest in a faculty mentor; three letters