Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
career planning component with the University of Oslo’s career guidance available throughout the postdoctoral tenure, to help the postdoctoral fellow develop junior faculty competence. Why choose us? We
-
to do joint end-to-end analysis of a wide range of cosmological datasets, including archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx
-
of bottom-up liquid chromatography-mass spectrometry (LC-MS) analysis of established disease biomarkers. Novel MIP-assays developed in the project will be validated against conventional assays (including both
-
as Postdoctoral Research Fellow available at the Department for Informatics with the research group Digital Signal Processing and Image Analysis (https://www.mn.uio.no/ifi/english/research/groups/dsb
-
bachelor program in bioscience is the first of its kind to include programming and computational modelling as core elements. Deadline 6th January 2026 Employer University of Oslo Municipality Oslo Scope
-
the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN), funded by the Research Council of Norway. The project’s goal is to develop mathematical
-
modelling and infectious disease dynamics. Experience working in interdisciplinary teams. Proven skills in statistical analysis and mathematical modelling tools. Excellent knowledge of programming languages
-
well as data analysis of large-scale registry data comparing mutation carriers to non-carriers. The aim of the project is to generate novel insights into human endogenous opioid function. The project offers
-
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 HISP Centre, Department of Informatics at
-
environment. The candidate will take part in the larger Cosmoglobe project aiming to do joint end-to-end analysis of a wide range of cosmological datasets, including archival data such as AKARI, DIRBE, FIRAS