Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- NTNU Norwegian University of Science and Technology
- University of Stavanger
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- Nord University
- OsloMet
- CMI - Chr. Michelsen Institute
- BI Norwegian Business School
- CICERO Center for International Climate Research
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- Nature Careers
- The Peace Research Institute Oslo (PRIO)
- University of Agder
- University of Oxford
- University of South-Eastern Norway
- VID Specialized University
- 11 more »
- « less
-
Field
-
machine learning (ML) methods are widely used to explore structure in complex and high-dimensional data, particularly in the life sciences, where clustering analyses often form the basis for biological
-
of the Center for integrative neuroplasticity (CINPLA) and in the INTED center. This PhD project will focus on reinforcement learning methods for generating complex structures with two possible application areas
-
the Centre for the Study of Professions. Programme description Information about the content and structure of this programme is described in more detail in the programme description (student.oslomet.no) PhD
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We invite applications for a PhD Research Fellow position in Computational Structural Biology is available
-
of the universe and the formation of cosmic structures by measuring the redshift of millions of galaxies out to 10 billion years into the past shining light on dark matter, dark energy and allow us to test
-
Technology . The position is for a period of 3 years. Desired start date: 1 May 2026 or earlier. The fellowship is part of TIES project “Tunable ion separations with micro-structured composite membranes
-
electronic structure methods in the areas of molecular response theory for molecules in complex environments. The developed methodologies will, for instance, be applied to model advanced spectroscopies
-
period at the University of Oslo. Place of work is Department of Informatics at Blindern, Oslo. Job description Unsupervised machine learning (ML) methods are widely used to explore structure in complex
-
and cohort data to investigate how social structures interact with individual and family-level risk factors to influence life-course trajectories. Within this framework, the successful candidate will
-
FAST – Future Aluminium Structures. The positions are 3-year doctoral research fellowships starting in 2026. The PhD candidates will be embedded in the forming research activities of SFI FAST and will