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Field
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Fortune. Title: Breaking the Dark Triad Supervisors: Professor Eric R. Igou (Eric.Igou@ul.ie ), Associate Professor Andrew Moynihan (Andrew Moynihan@ul.ie ) Project Description: This project will examine
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models and advanced statistical analyses to field data is necessary. You must have strong quantitative skills, or willingness to learn, including basic competence in the R programming environment. Your
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Microsoft Excel and Word Strong experience with data management and analysis (experience with longitudinal analyses preferred but not required), including independence with use of SAS, SPSS, and/or R softwar
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longitudinal analyses preferred but not required), including independence with use of SAS, SPSS, and/or R software Ability to efficiently multitask and meet deadlines Skill in taking initiative, assuming
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related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good
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and papers Very good knowledge of and experience with MS office, graphic programs, statistical software, bioinformatics tools and online tools (e.g. Illustrator, Lightroom, GraphPadPrism, R) Highly
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statistics and computer languages, like R; the ability to work independently as well as in a team. We offer A contract (36 hours per week) for a period of one year, to be extended with three more years after a
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Research, Computer Science, Mathematics, Applied Mathematics, or related fields. Proficiency in programming languages such as Python, R, or other programming languages. Familiarity with multi-agent systems
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programming skills in one or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness
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, stimuli selection, recruitment, participant testing, report writing). Experience with experimental software (e.g., Presentation, PsychoPy, E-Prime, Gorilla). Experience in data analysis and programming in R