Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nature Careers
- Johns Hopkins University
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- University of Stavanger
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Birmingham
- Zintellect
- Barnard College
- DAAD
- Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa.
- Faculty of Electrical Engineering in Osijek
- Gulbenkian Institute for Molecular Medicine
- Harvard University
- Institut de Recerca Biomèdica de Lleida (IRBLleida)
- King's College London
- Massachusetts Institute of Technology
- National Center for Theoretical Sciences
- Northeastern University
- Paul Scherrer Institut Villigen
- RUĐER BOŠKOVIĆ INSTITUTE
- University of Denver
- University of Michigan
- University of North Carolina at Charlotte
- Vanderbilt University
- 16 more »
- « less
-
Field
-
. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The DSB research group has seven full
-
philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing wholistic adaptive
-
, and institutional factors for crime in different societal contexts. This postdoc position is primarily part of the international, qualitative and comparative part of the project. It will involve
-
agronomists, plant breeders, biologists, entomologists, and soil scientists will help the postdoc to train and grow as an expert in the field, and as a future scientist. Under the guidance of a mentor, the
-
and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing
-
of trustworthy machine learning to clarify when unsupervised analyses, particularly clustering, can be meaningfully trusted to reflect properties of the underlying data-generating process. The central research
-
the implementation and use of data pipelines for national registry integration, enabling scalable and reproducible analyses across linked health and vaccination registries. The postdoc will use linked national health
-
allotted towards studying for the EPPP and/or professional development (research, trainings, etc.) Towards the mid-point of their fellowship year, the postdoc will receive mentorship and guidance around the
-
creative processes, develop innovative CoCreative AI systems and educational strategies, and address AI’s ethical, cultural, legal, and societal implications in creative domains. See mishmash.no for more
-
initial measurements on signal to noise optimisation. The successful applicant will be an integral part of the team comprised of the PI, PostDocs and PGR students, and will assist with the training and