193 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Norway
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
- Norwegian University of Life Sciences (NMBU)
- University of Agder
- OsloMet
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- Østfold University College
- ;
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nature Careers
- Nord University
- UNIS
- University of Oxford
- University of South-Eastern Norway
- 10 more »
- « less
-
Field
-
measurement quality issues related to respondent non-compliance in ecological momentary assessment or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models
-
completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining. Experience with
-
child, adolescent, and/or family psychology Teach topics related to clinical work with children, adolescents, and families, with a particular focus on psychotherapeutic methods and clinical practice
-
or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The appointment is a full-time position and is made for a period of three years
-
to acquire during the employment period. The Postdoctoral Fellow will also have access to career guidance throughout the postdoctoral period. The qualifying project will be carried out at the University
-
, you can expect: An attractive and supporting learning environment Participation in research groups Close supervision Skilled supervisors Excellent job prospects The programme is administered by
-
for three years with research duties exclusively. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided
-
methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive
-
equivalent education in climate dynamics, meteorology, oceanography, applied mathematics, physics, computer/data science or related fields or must have submitted his/her master's thesis for assessment prior
-
. The project will contribute to research within human–computer interaction and human factors on topics including: human–AI teaming in safety-critical work AI transparency and explain-ability in operational