-
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
-
, 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
-
. The selected candidate will work closely with Assistant Professors Sara Hamis (Department of Information Technology, Division of Systems and Control) and Måns Magnusson (Department of Statistics). Duties
-
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
-
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
-
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
-
/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
-
, 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
-
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
-
statistics or optimization) are a strong plus. As a person, you are creative, thorough, and have a structured approach. When selecting among the applicants we will assess their ability to independently drive