Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Harvard University
- UiT The Arctic University of Norway
- University of Oslo
- Nanyang Technological University
- University of Stavanger
- National University of Singapore
- The University of Queensland
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- AbbVie
- King's College London
- University of Agder
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Birmingham
- University of Minho
- University of New South Wales
- Western Norway University of Applied Sciences
- LINGNAN UNIVERSITY
- Monash University
- Nova School of Business and Economics
- Simons Foundation
- Simula Research Laboratory
- University of Adelaide
- University of Bergen
- University of Michigan
- ;
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian National University
- BARCELONA SUPERCOMPUTING CENTER
- CRANFIELD UNIVERSITY
- Carnegie Mellon University
- Colorado State University
- Cornell University
- Cranfield University
- Cranfield University;
- Curtin University
- Drexel University
- EMBL-EBI - European Bioinformatics Institute
- Fritz Haber Institute of the Max Planck Society, Berlin
- INESC ID
- Imperial College London
- Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Lawrence Berkeley National Laboratory
- Macquarie University
- NTNU - Norwegian University of Science and Technology
- National Research Council Canada
- New York University
- Northeastern University
- Plymouth University
- Queen's University Belfast;
- SciLifeLab
- Stanford University
- Stockholms universitet
- Tallinn University
- UCL;
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SURREY
- University of Agder (UiA)
- University of California
- University of Colorado
- University of Galway
- University of Leeds
- University of Leeds;
- University of Plymouth;
- University of Southampton;
- University of Stirling
- University of Stirling;
- University of Texas at Austin
- University of Utah
- 62 more »
- « less
-
Field
-
in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing and development is a plus. Good knowledge in Norwegian
-
calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
-
. The following is considered important in the assessment: that you have experience with applications of machine learning and deep learning on medical image data that you have experience applying methods within
-
verification of machine learning models, and conformal inference. Applicants should demonstrate scientific creativity, research independence, the capacity to support junior team members, and strong communication
-
at the time of hire. PhD in computer science, data science, or related discipline Track record of publications in Artificial Intelligence and Deep Learning in peer-reviewed conferences and journals
-
Mechatronics.. Criteria for positions as PhD Research Fellow (in Norwegian). Desired qualifications Good experience/knowledge in electrical machines, synchronous generators, applied signal processing, applied
-
to possess robust empirical research knowledge within the realm of political science. They should be proficient in conducting quantitative analyses. Experience with large language models, machine learning, and
-
to the project’s scope, such as mechanistic interpretability of LLMs, robustness verification of machine learning models, and conformal inference. Applicants should demonstrate scientific creativity, research
-
to the project’s scope, such as mechanistic interpretability of LLMs, robustness verification of machine learning models, and conformal inference. Applicants should demonstrate scientific creativity, research
-
statistical, Bayesian, and deep-learning approaches. Lead improvements in data quality, integration, and reproducibility across multi-centre trials and registries. Collaborate with leading clinicians, engineers