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Field
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the position Demonstrated expertise in organization and analysis of quantitative datasets and statistical modeling in Stata or R Excellent written, verbal, and interpersonal communication skills
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& Recht, OO&R). The Radboud Business Law Institute facilitates and conducts high-quality academic research in the field of business-oriented private law. The institute is a collaboration between Radboud
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communication, and collaborative problem-solving capabilities, which are essential for success in innovation-driven environments. This training prepares graduates for impactful roles in semiconductor R&D
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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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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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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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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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Job Description If you are aspiring to shape the future of industrial R&D or academia - especially in the context of renewable energy and intelligent systems - this PhD position may be
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, or the equivalent qualifications gained outside the UK. Experience in coding in both Python and R is essential.