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individual on an upward trajectory and will fully support applications for independent fellowships to follow this initial post. Applicants should hold a PhD (or equivalent) involving neuroimaging, cognitive
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record in the development of multi-channel digital signal processing in optical communications, and particularly the compensation of non-linear effects from all sources. An ability to learn new techniques
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the University consistent with personal needs and aspirations and with the strategic goals of the Institute. To support the development of further research proposals. To assist in the supervision of PhD students
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candidate will have completed a PhD or a PhD near completion in cell biology, bioengineering, bioscience, molecular biology or a related field. Candidates should have extensive experience of working with
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conference presentations. You should hold (or be near completion of) a PhD in Chemical Engineering, Environmental Engineering, Materials Science, or a related field. Essential skills include hands
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out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context
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closely with data scientists to interpret and predict MFA data using nonlinear reaction-diffusion models, 13C-isotopomer analysis, and MATLAB-based simulations enhanced by Bayesian Machine Learning