218 parallel-processing-bioinformatics "https:" Fellowship research jobs at University of Oslo
Sort by
Refine Your Search
-
and join fieldwork in up to three of these locations, perform laboratory analyses together with a research technician, and perform the bioinformatic and statistical analyses of the genomic data
-
cell culture, CRISPR/Cas9 based genome editing, protein expression and interaction analysis, light microscopy and cancer assays. A solid background in data analysis, bioinformatics and presentation
-
ultramafic rock systems. The position is associated with ongoing research aimed at advancing understanding of mineral fluid interaction processes and their impact on subsurface architecture and petrophysical
-
highly specialised software development group comprises about 20 full-time employees. More information is available at http://www.icgi.no and http://www.domore.no . The position is based in the Digital
-
in pharmacy, computational chemistry, medicinal chemistry, bioinformatics, or a closely related field. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian
-
, bioinformatics, or a closely related field. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Strong background in molecular modeling, molecular
-
adaptation. Metabolic rate is essentially a measure of the energetic cost of living, its function being to provide the ATP that fuels all processes within the organism. Thus, metabolic efficiency likely has a
-
(HPC/parallel environments), and open/reproducible release of data and analysis scripts under FAIR principles. Dissemination through high-impact journal publications and conference presentations in solar
-
, neuroscience, and clinical medicine. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298968/postdoctoral-research-fellow-in-womens-health-clinical-medicine Where to apply
-
, BioM will unite ecology, statistics, and philosophy to improve the modelling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key