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internal and external partners/professionals Specialist knowledge & experience of quantitative research methods and analysing data from a range of sources Competence in analytic/statistical software such as
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. Experience in commercial CFD package such as ANSYS package is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT, Meshing tool and post-processing software
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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embedded within a diverse and interdisciplinary research environment comprising experienced scientists in toxicology and human health, analytical chemistry, software engineering, statistics, and
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strong data management and statistical analysis skills, including proficiency in relevant software. Have excellent interpersonal and communication skills in English. Show the ability to work cooperatively
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ability and commitment to carry out high quality original research, ability to manage and analyse routine data using analysis software (Excel, STATA) is required. Experience in collaborating with healthcare
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of technologies/products. • Proven hands-on experimental skills of developing hardware. • Practical experience with optical fibres. • Proficiency in writing instrument control and data analysis software
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Nutrition qualification will be advantageous. Knowledge of Food Analysis software e.g. FoodWorks will be advantageous Share this job Facebook Twitter LinkedIn Apply on website Send job Apply on website Save
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Research or Psychology. You will have a detailed understanding and knowledge of statistical modelling and of software packages for carrying out statistical modelling, e.g., Stata, R, SAS, SPSS. Meticulous
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, excellent written and oral communication skills and advanced experience with Microsoft Office Suite, and various crystallography software packages and databases. Contract type: Open ended Work pattern: full