TraCS - Training in Computational Science | CompSci | Project | Results | H2020 | CORDIS

Rezultaty

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

Publikacje

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

Autorzy: Tanima SenGupta , Yohan Lefol , Lisa Lirussi , Veronica Suaste , Torben Luders , Swapnil Gupta , Yahyah Aman , Kulbhushan Sharma , Evandro Fei Fang , Hilde Nilsen
Opublikowane w: Aging, Numer 14, 2022, Strona(/y) 8661-8687, ISSN 1945-4589
Wydawca: Impact journals
DOI: 10.18632/aging.204375

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

Autorzy: Harish P Jain, Axel Voigt & Luiza Angheluta
Opublikowane w: Scientific Reports, Numer 13, 2023, Strona(/y) 100996, ISSN 2045-2322
Wydawca: Nature Publishing Group
DOI: 10.1038/s41598-023-37064-6

Deep learning metal complex properties with natural quantum graphs

Autorzy: Hannes Kneiding, Ruslan Lukin, Lucas Lang, Simen Reine, Thomas Bondo Pedersen, Riccardo De Bin, David Balcells
Opublikowane w: Digital discovery, Numer 2, 2023, Strona(/y) 618-633, ISSN 2635-098X
Wydawca: RSC
DOI: 10.1039/d2dd00129b

TraCS - Training in Computational Science

Rezultaty

Publikacje

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