Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- NHH Norwegian School of Economics
- University of Oslo
- BI Norwegian Business School
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- ;
- Diakonhjemmet Hospital
- European Magnetism Association EMA
- Norwegian Institute of Science and Technology (NTNU)
- Oslo National Academy of the Arts
- OsloMet
- Simula UiB AS
- University of Inland Norway
- University of South-Eastern Norway
- 7 more »
- « less
-
Field
-
Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology
-
Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and
-
the MSCA Doctoral Network Endotrain (Grant No: 101227148) and coordinated by the University of Bergen, Norway. Supervisors: Dr. Luis Fernandez-Luque, Dr. Ana Moro (Adhera Health SL); Prof. Helge Ræder, Prof
-
Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical
-
Network: ENDOTRAIN (Digital Endocrinology Training Network to Combat Adrenal Diseases) , and is scheduled to start in August 2026. The position is funded by European Union’s Horizon Europe research and
-
training network including workshops, courses in topics relevant for the project. Research Fields Endocrinology, Digital Health, Medical Sensors, Systems Physiology, Internal Medicine Secondments
-
modelling. ClampIT builds on the experience from the DynaLoad project and brings together a strong consortium covering the entire transformer value chain, including: Sensor and material suppliers: COMEM
-
ambitious benchmarks for reducing Greenhouse Gas emissions in international shipping, aiming for a 30-40% reduction by 2030, 80-90% by 2040, and achieving net-zero emissions by 2045, all relative to 2008
-
environmental transformation. The project sets ambitious benchmarks for reducing Greenhouse Gas emissions in international shipping, aiming for a 30-40% reduction by 2030, 80-90% by 2040, and achieving net-zero
-
, cargo, harbors etc. Large and deep AI models can be built using these data sets and machine learning, which can be combined with real-time satellite-based AIS data and sensors such as radar and algorithms