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of liquid crystal science is a plus, but not essential (the supervisor will provide appropriate conceptual and experimental training). Previous experience of quantitative research methods and practical
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matter physics or chemistry are solid assets. Knowledge in liquid crystal science is welcome but not required (the supervisor will provide the appropriate training). Prior quantitative research methods and
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training). Prior quantitative research methods and practical work in labs would be beneficial. Good knowledge and understanding of materials physics and chemistry, including polarized light optics
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provide the appropriate training). Prior quantitative research methods and practical work in labs would be beneficial. Good knowledge and understanding of materials physics and chemistry, including
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language (e.g. Python, R). The candidate will typically hold a Ph.D in Statistics/Biostatistics, Epidemiology, Bioinformatics, Computer Science or other relevant disciplines with a quantitative research
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, based on a comparative analysis of policies in the field of disability and those relating to old age and loss of independence. The qualitative and quantitative research carried out as part of this project