TraCS - Training in Computational Science

Project Information

CompSci

Grant agreement ID: 945371

DOI

10.3030/945371

EC signature date 6 May 2020

Start date 1 August 2021

End date 31 July 2026

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 5 207 040,00

EU contribution

€ 2 603 520,00

Coordinated by

UNIVERSITETET I OSLO
Norway

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (2)

Link to Euraxess website for 1st Call announcement

Link to Euraxess website for each call for proposals - Inform the Project Officer on publishing each call for proposals, by sending the link to the Euraxess website and a screen shot of the related call announcement

Link to Euraxess website for 2nd Call announcement

Link to Euraxess website for each call for proposals Inform the Project Officer on publishing each call for proposals by sending the link to the Euraxess website and a screen shot of the related call announcement

Publications

Peer reviewed articles (9)

Comparison of two different integration methods for the (1+1)-dimensional Schrödinger-Poisson equation.

Author(s): Nico Schwersenz, Victor Loaiza, Tim Zimmermann, Javier Madroñero, and Sandro Wimberger
Published in: Computer Physics Communications, Issue 300, 2024, Page(s) 109192, ISSN 0010-4655
Publisher: Elsevier BV
DOI: 10.1016/j.cpc.2024.109192

Multitask learning of a biophysically-detailed neuron model

Author(s): Jonas Verhellen, Kosio Beshkov, Sebastian Amundsen, Torbjørn V. Ness, Gaute T. Einevoll
Published in: PLOS Computational Biology, Issue 20, 2024, Page(s) e1011728, ISSN 1553-7358
Publisher: San Francisco, CA Public Library of Science 2005-
DOI: 10.1371/journal.pcbi.1011728

Evolution of phenotypic plasticity leads to tumor heterogeneity with implications for therapy

Author(s): Simon Syga, Harish P. Jain, Marcus Krellner, Haralampos Hatzikirou, Andreas Deutsch
Published in: PLOS Computational Biology, Issue 20, 2024, Page(s) e1012003, ISSN 1553-7358
Publisher: Public Library of Science (PLoS)
DOI: 10.1371/journal.pcbi.1012003

Krill oil protects dopaminergic neurons from age-related degeneration through temporal transcriptome rewiring and suppression of several hallmarks of aging.

Author(s): Tanima SenGupta, Yohan Lefol, Lisa Lirussi, Veronica Suaste, Torben Luders, Swapnil Gupta, Yahyah Aman, Kulbhushan Sharma, Evandro Fei Fang, and Hilde Nilsen
Published in: Aging, Issue 14 (21), 2022, Page(s) 8661-8687, ISSN 1945-4589
Publisher: Impact journals
DOI: 10.18632/aging.204375

Topological structure of population activity in mouse visual cortex encodes densely sampled stimulus rotations

Author(s): Kosio Beshkov, Marianne Fyhn, Torkel Hafting, Gaute T. Einevoll
Published in: iScience, Issue 27, 2024, Page(s) 109370, ISSN 2589-0042
Publisher: [Cambridge, MA] Cell Press, Elsevier Inc.
DOI: 10.1016/j.isci.2024.109370

Sensitivity of the polar boundary layer to transient phenomena.

Author(s): Amandine Kaiser, Nikki Vercauteren, and Sebastian Krumscheid
Published in: Nonlinear processes in geophysics, Issue 31 (1), 2024, Page(s) 45–60, ISSN 1023-5809
Publisher: American Geophysical Union
DOI: 10.5194/npg-31-45-2024

Robust statistical properties of T1 transitions in a multi-phase field model of cell monolayers.

Author(s): Harish Pruthviraj Jain, Axel Voigt, and Luiza Angheluta
Published in: Scientific Reports, Issue 13, 2023, Page(s) 100996, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-023-37064-6

Deep learning metal complex properties with natural quantum graphs.

Author(s): Hannes Kneiding, Ruslan Lukin, Lucas Lang, Simen Reine, Thomas Bondo Pedersen, Riccardo De Bin, and David Balcells
Published in: Digital discovery, Issue 2, 2023, Page(s) 618-633, ISSN 2635-098X
Publisher: RSC
DOI: 10.1039/d2dd00129b

From cell intercalation to flow, the importance of T1 transitions.

Author(s): Harish Pruthviraj Jain, Axel Voigt, and Luiza Angheluta
Published in: Physical Review Research, Issue 6, 2024, Page(s) 033176, ISSN 2643-1564
Publisher: American Physical Society (APS)
DOI: 10.1103/physrevresearch.6.033176

Thesis and dissertations (2)

Complex Learning: Machine learning approaches for transition metal complexes

Author(s): Hannes Kneiding
Published in: 2024, ISSN 1501-7710
Publisher: University of Oslo

Neural Representations and the Topology of Cognition. Studying the structural properties of the maps implemented by neural networks

Author(s): Kosio Beshkov
Published in: 2024, ISSN 1501-7710
Publisher: University of Oslo