Sort by
Refine Your Search
-
increasingly recognized as a key factor in understanding climate variability and have the potential to improve seasonal to decadal climate predictions. The PhD candidate will investigate mechanisms of such basin
-
). The position is funded by the University of Bergen. About the project/work tasks Interactions between the Pacific, Atlantic, and Indian Ocean basins are increasingly recognized as a key factor in understanding
-
of linguistic analysis (phonetics/ phonology, morphology, syntax, semantics) Synchronic or historical linguistics Corpus linguistics Language contact Contrastive linguistics The PhD project must emphasize the use
-
, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid hormone disorders, particularly adrenal
-
the fellowship. Experience with machine learning techniques is an advantage. Experience with the analysis of omics data is an advantage. The LEAD AI mobility rules must be followed. Outgoing fellowships require
-
linguistics. Potential fields of research include, but are not strictly limited to: Language variation and change on all levels of linguistic analysis (phonetics/ phonology, morphology, syntax, semantics
-
digital health. Our research integrates AI, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid
-
any other institution for the time of the fellowship. Experience with machine learning techniques is an advantage. Experience with the analysis of omics data is an advantage. The LEAD AI mobility rules
-
comprises a training component corresponding to 30 ECTS, which correspondsto one semester. Qualifications and personal qualities: The applicant must hold a Norwegian master’s degree or an equivalent foreign
-
will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme comprises a training component corresponding to 30