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(Post 1) Expertise in dietary data analysis and food data (Post 2) Strong statistical skills and experience with large-scale epidemiological datasets Demonstrable proficiency in R/RStudio or equivalent
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datasets. Good working knowledge of statistics including the use of R. LanguagesENGLISH Research FieldMedical sciences » Other Additional Information Work Location(s) Number of offers available1Company
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) • Strong statistical skills and experience with large-scale epidemiological datasets • Demonstrable proficiency in R/RStudio or equivalent statistical software • Proven excellence in scientific
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communication and organisation, with demonstrable ability to meet deadlines. Confident in statistical analysis with R/Python/Matlab or similar Specific Requirements Strong research profile in field aquatic
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technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations and safety protocols, including working on research vessels
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simulation and laboratory testing of marine renewable energy technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations
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, Behavioural change, or Citizen Science, or any related discipline’ or exceptionally, equivalent* research experience (including industrial R&D). Bachelor’s degree in Environmental Science, Ecology, Agriculture
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enquiries can be made in confidence to Dr Maria R. Aburto Email: maria.rodriguezaburto@ucc.ie For further information on the Department APC Microbiome Ireland - University College Cork - Teagasc University
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rapport, can influence and develop effective networks I.T. skills: Knowledge of MS Office suite and appropriate statistical software (e.g., Stata, R). Conscientious: Have a pro-active approach to work