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Field
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analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
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entire functions and showed that these are always bounded by simple closed curves. They also showed that, under certain conditions, the full Julia set is locally connected. Also, Rempe ([R], Acta Math
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI
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interpersonal, communication, organizational, problem-solving, and statistical software skills (e.g., R). Strong background in quantitative data analysis and research methodology is preferred. Ideal candidates
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of statistical packages such as R or Stata. Experience with longitudinal data, and clinical and administrative datasets would be an advantage, but is not essential Application process Please send your CV, academic
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Biology, Ecology or Environmental Science; Strong statistical analysis skills; Proficient in the application of spatial analysis in R; Familiar with the North Sea marine ecosystem; Interested in sea going
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
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pressure Desired Practical experience in cell culture Practical experience in chemical analysis Experience in statistical analysis and programming languages, especially R What we can offer you Trust-based