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Python, R, Java, or Matlab. Desirable: Experience of research in analysing healthcare data (e.g. EHRs). Evidence of collaboration with industries, policy makers, or institutions. Demonstrable ability
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-economic considerations supporting equitable LCT deployment Experience working with Distribution Network Operators or Utilities on research, innovation or consulting projects Experience working with Python
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for diagnostics and therapy Conduct comprehensive bioinformatic analysis utilising established methodologies and tools (e.g. R, Python, MATLAB and other relevant bioinformatics software packages) Collaborate
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and Experience Strong statistical analysis and data handling skills Understanding of data structures, data modelling and data management Ability to write robust, reproducible code in Python or R
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familiar with spatial analyses, species distribution modelling (SDM), and programming in the R or Python languages to apply these to: Collate and analyse spatial data on MPA boundaries, their protection