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Programming of experimental tasks and basic data analysis in R, Python, Matlab or similar Contributing to manuscripts for publication Assisting other colleagues in their research activities Main Duties Collect
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neurogenetics of Drosophila. This requires expertise in setting up and analysing behavioural tests, using appropriate analytical methods and software and skills in coding in e.g. R, MatLab, R, Python, as required
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of existing image analysis software and generation of bespoke algorithms for advanced image analysis. This will typically require coding expertise in languages such as MATLAB, R and/or Python and familiarity
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and commercial tools (e.g. XCMS, MZmine, Compound Discoverer, GNPS, SIRIUS, etc). Proficiency in one or more programming languages (e.g. R, Python). Experience with continuous integration and best
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coding expertise (e.g., Python, R, JavaScript) to customize and integrate AI tools, build APIs, and create technical solutions for marketing challenges. Collect research data; this may be through a variety
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and sequence analysis. Good programming skills (e.g. R, Python, C/C++). Knowledge of basic statistics and application in R or similar. Experience with machine learning algorithms and ideally experience
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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research
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, and how to use them. Evidence of driving innovative science, including publication in high quality scientific journals. Knowledge of programming tools/languages, such as R/Python. Solid understanding
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, with a focus on transcriptomics and metabolomics. Skills in Python and R programming, with knowledge of established bioinformatics, biostatistics, data sciences, machine learning and AI packages. Ability
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such as SPSS, R, or similar tools Strong project management skills and the ability to work independently and as part of a multidisciplinary team A solid understanding of mental health challenges in high