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methods and deep learning to enable scientific reasoning. Develop software prototypes for automated research workflows that integrate autonomous discovery pipelines with modern deep learning architectures
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computational methodologies alongside experimentalists developing new wet lab methods and to produce relevant publications. You should have extensive computational experience in transcriptomics, including
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delivery, public health principles and chronic disease prevention and health promotion methods, but also a passion for research, community engagement, and collaborative problem-solving. Experience in, and a
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health service delivery, public health principles and chronic disease prevention and health promotion methods, but also a passion for research, community engagement, and collaborative problem-solving
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for partial differential equations, and multiscale partial differential equations. The candidate will develop efficient numerical methods for solving the problems, and implement the numerical algorithms
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acquisition tools, signal processing methods and advanced data analytics. The successful candidate will also develop computational models of light transport in biological tissues, including Monte Carlo-based
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About the role We are seeking a highly motivated Research Associate/Fellow to join a multidisciplinary team developing advanced MRI and sensor data analytics methods to improve our understanding
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, programmatic, and commercial testing datasets) to develop implementation plans Mixed-methods research and intervention adaptation • Conduct qualitative data collection and analysis (e.g
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junior researchers in quantitative and neuroimaging analysis methods Contribute to laboratory research activities and other duties assigned by the Principal Investigator. Job Requirements PhD in
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position to apply for relevant permanent academic roles, should they arise, at Durham or elsewhere. Successful applicants are normally expected to be within 5 years of completing their PhD, although career