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inclusive benefits to staff, including flexible working, Enhanced Parental Leave, funds for Parents and Carers, and the potential to join community staff networks. About the role You will join a team of
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for studying in vitro transport across the nuclear pore complex Job description The selective control of import and export across membrane-spanning pores is vital for our cells. Typically, the specificity, speed
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-quality methods for complex, secure, and safety-critical systems. It leads a range of national and European projects and maintains strong partnerships with industry. You will benefit primarily from
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hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation of spatial patterns, the transition between
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, and Prof James Chalmers at the University of Dundee. You will be sited within the vibrant research environment of the School of Biosciences but will work closely with the collaborative network
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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complex behaviours, including learning, in the small invertebrate model organism C. elegans. We have recently discovered a range of novel dopamine receptors in C. elegans and found that different receptors
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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and maintain a strong network of national and international collaborators, leveraging diverse expertise to advance research goals. Ensure compliance with all safety regulations and ethical guidelines in
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system, and (2) a validated prototype of a multi-channel detection system for fish entering the net. The focus will be on implementing fish detection by combining measurements of time- and position