Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
real world applications. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/274371/phd-research-fellow-in-deep-learning-on-image-data-for-subsurface-imaging Where
-
available at the Institute of Clinical Medicine at University of Oslo, as part of the research project BRAINGAP, which seeks to uncover the genetic architecture of brain imaging phenotypes. The research is
-
12 Feb 2025 Job Information Organisation/Company University of Oslo Research Field Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application
-
Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing and Image Analysis (https://www.mn.uio.no/ifi/english/research
-
UiO/Anders Lien 28th February 2025 Languages English English English PhD Research Fellow in Deep learning for imaging Apply for this job See advertisement About the position Two (2) positions as PhD
-
Research Fellow in Deep learning on image data for subsurface imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department
-
process once they have taken up their position. As faculty member of the Section for Cognitive and Clinical Neuroscience, applicants should exhibit a profile focusing on artificial intelligence and its
-
Research Fellow in Deep learning for imaging Apply for this job See advertisement About the position Two (2) positions as PhD Research Fellow in machine learning available at the Department for Informatics
-
issues. The position(s) will be affiliated with the Multimodal Imaging Group at the Department of Psychology and will be integrated with the Centre for Precision Psychiatry (https://www.med.uio.no/klinmed
-
, The Norwegian Centre for Knowledge-driven Machine Learning (ML), a center of excellence funded by the Research Council of Norway. The center is in operation from 2023 to 2033 and will fund more than 60 PhD and