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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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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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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
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‘toolkit’ for formulation development, enabling them to bring novel eyecare treatments to market. Candidate Profile: PhD in Pharmaceutical Sciences or a closely related discipline. They should have a strong
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scientific, engineering, agricultural or mathematical background, with a PhD in a relevant topic. You will have strong analytic, modelling and data analysis skills and experience of writing up research outputs
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. The ideal candidate must have or be close to having a PhD in a relevant academic discipline. They will have experience in at least one of the research project areas, be able to collect data from multiple open