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individual for this postdoctoral research position in the general areas of Bayesian inference and statistical physics. The emphasis of this research will be on employing theoretical and numerical methods from
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laboratory testing and analyse experimental data using appropriate computational methods. Develop innovative research methodologies and contribute to project planning and reporting. Publish your findings in
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-related concerns. You will join an international research team and contribute to a mixed-methods programme of research. Activities will include reviewing scientific evidence and international guidance
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microscopy and image analysis, and a passion for applying multidisciplinary methods to understand de novo membrane protein folding. The ability to rapidly learn new techniques is highly desirable
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vivo , as well as in vitro electrophysiological studies (whole cell patch clamp, local field potential recordings). Knowledge of EEG analysis methods and programming (e.g. MATLAB) is essential. What we
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rigorous literature reviews and the design and delivery of mixed-methods research with human participants (for example field observations and online surveys), including preparation of ethics applications and
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, modelling of optical communication systems, experience of developing new digital signal processing schemes using machine learning methods. About us: AiPT is one of the world’s leading photonics research