16 statistics positions at Uppsala universitet in Sweden

Postdoctoral position in epidemiology

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

PhD student in Machine Learning focusing on Sequential Decision-Making

, 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

Postdoctoral position in Bayesian inference for cell biology applications

. 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

Postdoctoral position in bioinformatics and lymphoma research

/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

Postdoctoral position in epidemiology/biostatistics and lymphoma research

, 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

Postdoctoral position in cardiovascular epidemiology

University. You will be placed at “epihubben” together with 30 other researchers in the epidemiological field. A very creative environment. Work tasks To perform statistical analyses using both traditional

PhD student in Meteorology focusing on loads on wind turbines in complex terrain

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

Postdoctoral fellow in Machine Learning with applications in medicine

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

PhD student in Automatic Control focusing on probabilistic methods for secure control

control under strategic adversaries. In particular, the doctoral student is expected to leverage control-theoretic and statistical methods to rigorously analyze and design the security of CPSs that learn

Postdoctoral position in Machine Learning focusing on Secure Federated Learning

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