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ethical approval, R&D and research registry registrations for the project Observe the confidentiality of participant information at all times, in accordance with the Data Protection Act and to ensure
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at conferences and/or high-quality publications (Role Specific Criteria) Strong technical and methodological statistical skills applied to health research Experience of programming in R or other statistical
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analysis) and tumour cell injection (Desirable) Experience of using bioinformatics software and methodologies to analyze multi-omic and therapeutic datasets (e.g. R statistical environment) (Desirable
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BBSRC funded project of Dr. R. Daniel and Dr. L. Wu. The laboratory is a multidisciplinary research group studying Bacterial Molecular & Cell Biology specifically the mechanisms of bacterial growth and
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approaches. Experience with simulation software (GROMACS, AMBER), molecular visualisation (UCSF Chimera, VMD), and scripting (Python, bash); competent with statistical tools (R, xmgrace). Proven track record