12 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"ISCTE-IUL" PhD positions at University of Bergen
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Additional Information Work Location(s) Number of offers available1Company/InstituteAI LEARN centreCountryNorwayCityBergenGeofield Contact City Bergen Website https://www.uib.no/en/charterandcode Street
-
Website https://www.jobbnorge.no/en/available-jobs/job/291178/researcher-1109-in-data-d… Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldComputer scienceEducation
-
PhD Research Fellow in Data Integrity for Digital Health & Medical Wearables (DC9) at the University of Ulm, Germany (ENDOTRAIN) PhD-position at the University of Ulm, Germany (ENDOTRAIN) (DC9
-
15th February 2026 Languages English English English PhD Research Fellow in Patient control of their health data used for research and treatment purposes at the Faculty of Law, University of Bergen
-
treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology
-
15th February 2026 Languages English English English PhD Research Fellow in Data Integrity for Digital Health & Medical Wearables (DC9) at the University of Ulm, Germany (ENDOTRAIN) PhD-position
-
project descriptions. Your application must include: A cover letter including a brief account of your research interests and motivation for applying for the position The names and contact information
-
, and data interpretation, is an added advantage. Strong scientific writing skills, with a track record of peer-reviewed publications. Excellent communication and organizational skills, with the ability
-
clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital
-
of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal