Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- Norwegian University of Life Sciences (NMBU)
- University of Stavanger
- University of Inland Norway
- BI Norwegian Business School
- NORCE Norwegian Research Centre
- OsloMet – Oslo Metropolitan University
- University of Agder
- Western Norway University of Applied Sciences
- CESSDA ERIC
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Molde University College
- NHH Norwegian School of Economics
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- Nansen Environmental and Remote Sensing Center
- Nord University
- Norwegian Institute of Bioeconomy Research
- Simula Research Laboratory
- The Peace Research Institute Oslo (PRIO)
- University of Agder (UiA)
- University of Oslo;
- 15 more »
- « less
-
Field
-
. Prior experience in developmental biology is not required, but an interest in early embryo development is expected. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job
-
-embryo-development Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/297399/phd-fellowship-in-rna-mod… Requirements Research FieldMedical sciencesEducation LevelMaster Degree
-
leaders and teachers. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/297979/potdoctoral-research-fellow-in-childrens-learning-and-development Where to apply Website
-
, character state evolution, historical biogeography, phylogenetic diversity, and speciation. Aims with this project are to use new methodologies to explore the evolution of taxa and characters and to infer
-
and rock physical evolution in mafic and ultramafic rocks during CO₂ injection and mineralization. Emphasis will be placed on the characterization of mafic and ultra-mafic igneous rocks, alteration
-
spectral energy distributions, flare populations, and particle environments across a range of stellar masses and ages, with direct applicability to studies of planetary atmospheric evolution. Starting from
-
, such as scalability, post-Bayesian methods, and in general computational and methodological challenges in integrative unsupervised learning. Method development will be motivated by the research questions
-
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
-
combines research-oriented bioinformatics with scientific pipeline and software development. The selected candidate will contribute to analyses of large-scale genomics datasets and support the development
-
a range of biodiversity aspects, such as taxonomy, character state evolution, historical biogeography, phylogenetic diversity, and speciation. Aims with this project are to use new methodologies