78 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Umeå University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
research competence, Contact information for two referees who are willing to act as references, Other documents that the applicant wishes to claim. The application, including attached documents, must be
-
to SEK 35,600. Additional information Doctoral students are affiliated with a research school, normally the Faculty of Arts and Humanities Doctoral College . The studies are coordinated with the doctoral
-
exposures and breast cancer risk. The focus of the project is on analyses of high dimensional and longitudinal data. The position is for three years, starting summer/fall of 2026 or upon agreement
-
collaboration with industry. For information on relevant background research, please refer to our earlier publications: doi.org/10.1038/s41467-025-55954-3 and doi.org/10.1002/ente.201402201 and doi.org/10.1038
-
working with associated techniques, such as bioprinting, is considered an asset. To be eligible for the position, the applicant must be able to analyze and interpret data, have excellent oral and written
-
university courses, grades and any additional certificates or attestations that are relevant to the project, Copy of degree thesis and any publications (maximum five), Names and contact information
-
with good employment conditions. More information about the department is available at: Department of Computing Science . Project description Machine learning is a key technique in many research and
-
project is connected to the department’s research and supervisors. You will find more information about the doctoral training program here . As a PhD student, you formulate your own research plan in English
-
thus be extended up to a maximum of five years. The entry level salary is SEK 30,900 and rises in three steps to SEK 35,600. Additional information Doctoral students are affiliated with a research school
-
explores novel methodological approaches using survey and register data. Work tasks The work will focus on exploring and developing quantitative approaches grounded in intersectionality theory and with