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PhD degree in the area of medical sciences, statistics, psychology or other relevant disciplines or a foreign degree equivalent to a PhD degree in these areas. The degree needs to be obtained by
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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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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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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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leave, duties within trade union organizations, etc. A requirement for the position is very good knowledge in quantitative research and data collection, as well as experience with quantitative statistical
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/or high throughput data, for example analyzing genetic data generated with next generation sequencing - Skills in data management, statistical analysis and modeling (R/Python or SAS, STATA and/or
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, statistical analysis and modeling (SAS, STATA and/or R) - Experience in leadership is a merit The application should contain an application letter with the motivation to join the group, curriculum vitae and
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foreign degree equivalent to a PhD degree, within machine learning, signal processing, computer vision, computational statistics or another nearby and relevant field. The degree needs to be obtained by
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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