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development Proficiency in complex data analysis Knowledge and experience with R, Python, MATLAB Familiarity with statistics methods, large data sets and data visualization Ambition, drive, strong work ethic
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Fixed-term: The funds for this post are available for 3 years in the first instance. We invite applications for a Postdoctoral Research Fellow to join the Lab of Interdisciplinary Spatial Analysis
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics to work on rigorous mathematical analysis of geophysical fluid equations
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"Coupled Magnetic Hybrids for Advanced Quantum Technologies", a collaboration with the City University of Hong Kong (CUHK). The aim of the role is to explore how nanomagnetic elements in proximity structures
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connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level proofreading, annotation and analysis of connectomics data. This will include
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in the Lab of Interdisciplinary Spatial Analysis (LISA) in the Department of Land Economy, University of Cambridge. This position is funded by the City University of Hong Kong and will be held
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. Initial analysis suggests recurrent selection of divergent types in multiple locations. The aim of this role is to complete this analysis and prepare a manuscript for submission for publication
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confidence in Python programming is essential. Practical knowledge of experimental implementation of optical imaging instrumentation and performing the associated data handling and analysis is also essential
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of clinical research studies using stable isotope tracer methodologies and analysis of the collected blood/tissue samples. Main duties include: Conduct bench work to prepare blood and tissue samples
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to the regulation of complex behaviours. This will involve a range of techniques including high resolution confocal microscopy to determine receptor localisation, behavioural analysis of C. elegans and computational