14 data "https:" "https:" "https:" "https:" "https:" "https:" Fellowship research jobs at University of Oslo
Sort by
Refine Your Search
-
centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and
-
/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and collaborative research environment in cold regions sciences, in
-
doctoral candidates to transform how chronic inflammatory diseases are understood and treated. HARPNET’s scientific programme is integrated across three scientific work packages, where data
-
– Discovering Rare Proteins Across the smORF Landscape See advertisement About the position Would you like to use large-scale data analysis and machine learning to uncover proteins that conventional
-
(EpiGen; https://epigenahuscom.wordpress.com/) at the University of Oslo, Ahus Campus, Lørenskog. EpiGen is a joint research unit established by the University of Oslo (UiO) and Akershus University
-
of ancient killer whale genomes generated within the project. The tasks will include ancient DNA laboratory work, bioinformatic processing of Next Generation Sequencing data, and population genomic
-
data analysis with opportunities for modelling depending on the candidate’s interests. The successful candidate will have the opportunity to join the science teams of three major Mars missions: the
-
tissue biology in general. We are looking for a candidate with extensive hands-on training on a broad spectrum of multiomics bioinformatics data analyses and with existing knowledge in adipose tissue
-
/UV/vis) – all supported by quantitative data analysis. The PhD candidate will contribute to bridging research activities across groups based in: Pharmacy, Theoretical chemistry, Medicine, Microbiology
-
experience in analyzing output from, and ideally also running, weather and/or climate models Strong programming skills and experience working with large (simuated or observed) data sets Desired qualifications