Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Stavanger
- University of Bergen
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Agder
- Simula Research Laboratory
- ;
- BI Norwegian Business School
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- Nature Careers
- Nord University
- University of Agder (UiA)
- Western Norway University of Applied Sciences
- 6 more »
- « less
-
Field
-
Overturning Circulation, from models and in situ data 2) using Lagrangian measurements to study ocean dynamics, for example transport and spectral characteristics 3) ocean-bathymetry interactions Other topics
-
, high-content imaging, data science and computational modelling are used to study the biomolecular networks governing cell fate specification and cellular behaviours, such as collective migration and
-
understanding of the composition of the crust of the earth? Explore how to benefit from recent research in foundational neural models that learn from large unlabeled image datasets, also incorporating context
-
development with a cellular resolution and at the genome scale. Specifically, efforts using systematic CRISPR/Cas9-mediated mutagenesis, high-content imaging, data science and computational modelling are used
-
Documented experience in at least one of the following areas: molecular cloning and mutagenesis in non-model bacterial species (ideally in a BSL-2 environment), mass spectrometry (ideally in combination with
-
engineering, ICT, computer science or a similar/related field. System safety and security engineering. Simulation and modeling for industrial systems. Technical expertise in the following areas: Background in
-
approaches, or more theoretical economic modeling. The position also provides opportunities for international research stays (for example, at the University of Florida, USA) as well as close collaboration with
-
systems and models to enhance learning through AI technology. The Postdoc fellow will engage with developing models, frameworks and technologies that facilitates more efficient development of rich
-
on the CO power spectrum of the early universe. Its nominal sensitivity is close to the predicted signal range for a broad range of currently popular models, suggesting that a first cosmic CO detection could
-
. Project description The position is funded by EU Horizon and part of the Marie Sklodwoska-Curie Doctoral Network NeuroNanotech : ‘Integrating Nanotechnology and Neurocomputational Modeling for Advanced