265 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" research jobs at University of Oslo in Norway
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
positions within their disciplines. A career plan shall be developed for the Postdoctoral Fellow, specifying the competencies the Postdoctoral Fellow should acquire. UiO is responsible for following up
-
at the University of Oslo. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of
-
, you will be part of a professional research centre with extensive experience in coordinating international research projects and networks financed by European and Norwegian research funding institutions
-
public defence are eligible for appointment Strong programming and artificial intelligence/machine learning skills The candidate’s research proposal must be closely connected to the call and the research
-
Fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the Postdoctoral Fellow has access to career guidance throughout the postdoctoral term. If the Postdoctoral
-
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
-
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
-
gender equality initiatives at UiO can be found here. General information The best qualified candidates will invited for interviews. Applicant lists can be published in accordance with Norwegian Freedom
-
applicant from each of these categories to an interview. We hope that you will apply for the position. More information about gender equality initiatives at UiO can be found here. General information The best
-
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