52 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Oslo
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
, identify individuals at risk, and develop strategies for sustained weight loss and long-term weight maintenance. Yvonne Böttcher’ research group ( https://functionalgeneticsofobesity.wordpress.com
-
the rapid uptake of distributed renewable energy resources and the envisioned empowerment of prosumers. Thus, the traditional centralized grid is evolving into a highly distributed, data/ computation
-
project with focus on specialization in political data science or comparative politics? Postdoctoral Fellow Apply for this job See advertisement About the position The Department of Political Science
-
computational complexity, statistical reliability and data sparsity for fine-grained subgroups. Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in this role? The Faculty of
-
up to 2-3 Doctoral Fellowships. The PhD-positions will be connected with one of the faculty's present research groups ( https://www.tf.uio.no/english/research/groups/ ) or research fields. Applicants
-
complex "omics" data Experience in handling and analysis of clinical samples/biopsies Experience with extracellular vesicle/exosome characterization. Familiarity with proteomics or other omics
-
relevant national registries, which can be linked as appropriate to the research questions. The applicant will be responsible for identifying the most suitable data source(s) for the pre-reform period and
-
description to be attached to the application for admission to the doctoral program. For more information, please see our website https://www.med.uio.no/english/research/phd/index.html Starting date: as
-
written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations
-
important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain-specific knowledge, helping lay the foundations for