Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- University of Stavanger
- University of Bergen
- OsloMet
- Norwegian University of Life Sciences (NMBU)
- NTNU Norwegian University of Science and Technology
- University of South-Eastern Norway
- Nord University
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- UiT The Arctic University of Norway
- University of Agder
- ;
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Nansen Environmental and Remote Sensing Center
- Nature Careers
- UNIS
- Østfold University College
- 9 more »
- « less
-
Field
- Computer Science
- Economics
- Medical Sciences
- Science
- Engineering
- Materials Science
- Mathematics
- Social Sciences
- Humanities
- Linguistics
- Arts and Literature
- Education
- Chemistry
- Psychology
- Biology
- Electrical Engineering
- Earth Sciences
- Philosophy
- Environment
- Law
- Physics
- Sports and Recreation
- 12 more »
- « less
-
(predictive) modelling, for example machine learning approaches. Experience in conducting field work in polar or alpine regions. Strong and preferably demonstrated interest in interdisciplinary work at the
-
conducting quantitative analyses or master game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement
-
limited to these topics, but preference can be given to candidates with a potential to contribute to the ongoing academic dialogue in the department. Applicants must be able to teach in Norwegian or a
-
while offering flexibility to tailor your training to specific needs and interests through elective courses and secondments. • Blended Learning Approach: Our training combines intensive in-person
-
research project Expertise in machine learning Additional expertise in one or more of the following: digital signal processing, statistics, multimodal processing, FAIR data management, music theory
-
exam before 15.06.2026. It is a condition of employment that the master's degree has been awarded. Background in optimization is required. Experience in machine learning is an advantage. Familiarity with
-
, will analyse the impact of blockades on households, states, corporations and the international order; on the development of political and military strategy; on how the wars were prepared, experienced and
-
methodologies Experience with machine learning techniques Experience with pipeline development and testing (gitlab, simulated light curves…) Ability to work independently and to collaborate in an international
-
for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment Strong programming and artificial intelligence/machine learning skills Interest
-
four years are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of 25 %. Place of work is Department of Chemistry at Blindern/Gaustad