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, electrical engineering, applied mathematics, mathematical statistics, or in a similar field, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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knowledge of digital humanities and social sciences, Python and econometrics/statistics is an advantage. More information: project leader Anders Ögren, [email protected] . Project 2: Intangible Assets
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statistics, or equivalent. We are looking for candidates with good communication skills with sufficient proficiency in oral and written English, excellent study results, high proficiency in programming
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Statistics We encourage you to provide details of referees and/or attach a letter of recommendation. Applicants for this position, accept that Uppsala University and the rest of the AptWind consortium evaluate
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interdisciplinary approach; transcending traditional foci on patent statistics and citations. The student will apply novel digital research methods in natural language processing and machine learning (AI research