Sort by
Refine Your Search
-
landscape, and underground water seeps and caves, ethnographic fieldwork will provide in-depth insights into the role of these water reservoirs in the hydroconnectivities that help(ed) to sustain livelihoods
-
creation, fundamental questions of epistemic risks and illusions of understanding of scientific knowledge arise. This position will help us to advance our knowledge about how humans learn to trust AI systems
-
genomic and transcriptomic datasets, you will help establish a new framework for predictive phenomics. The project offers a unique opportunity to link advanced modelling with plant genetics, strengthening
-
. This position will help us to advance our knowledge about how humans learn to trust AI systems, including ways in which they can fruitfully critique and challenge them. The successful candidate will work closely
-
illusions of understanding of scientific knowledge arise. This position will help us to advance our knowledge about how humans learn to trust AI systems, including ways in which they can fruitfully critique
-
, Associate Professor Ragnhild M. Bø to receive the full project description. The Postdoc will become part of DRESS’ core team which includes PI Ragnhild M. Bø and a PhD. The team benefit from an advisory board
-
formulated for WP3. Interested applicants are encouraged to contact the principal investigator, Associate Professor Ragnhild M. Bø to receive the full project description. The Postdoc will become part of DRESS
-
, including three faculty professors, two researchers, several postdoctoral fellows, Ph.D. candidates, data engineers, full and part-time research assistants, administrative support, and several affiliated
-
and develop competence so that he/she is qualified to apply for an associate professor position. A career plan shall be developed for the postdoctoral fellow, specifying the competencies