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PhD position at the interface of statistical physics, information theory and computer science. 4 years, starting in the Fall of 2021

by Gabor Zavodszky | Jul 22, 2021 | Jobs, News

We are seeking a highly motivated candidate to work on the use of classical spin models for high order pattern detection and information coding in binary data. In this context, recent studies have highlighted the existence of linear transformations (called gauge...
Effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis

Effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis

by Gabor Zavodszky | May 12, 2021 | Hot News, News

Pavel Zun, Andrey Svitenkov and Alfons Hoekstra have published a new paper on the effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis.Computational models are increasingly used to study cardiovascular disease. However,...
Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model

Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model

by Gabor Zavodszky | May 7, 2021 | Hot News, News

Dongwei Ye, Anna Nikishova, Lourens Veen, Pavel Zun and Alfons Hoekstra has published a new paper on Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model in Reliability Engineering & System SafetyThe In-Stent...
ASDI Grant 2020 awarded to study the impact of climate change adaptation on poverty traps

ASDI Grant 2020 awarded to study the impact of climate change adaptation on poverty traps

by Gabor Zavodszky | Apr 22, 2021 | Hot News, News

Rapid urbanisation and climate change exacerbate natural hazard risks worldwide, undermining humanity’s aspirations to achieve sustainable development goals (SDG). The (re)distribution of climate risks and the escalation of inequality due to climate change is a...
Uncertainty quantification patterns for multiscale models

Uncertainty quantification patterns for multiscale models

by Gabor Zavodszky | Mar 30, 2021 | Hot News, News

Dongwei Ye, Lourens Veen, Anna Nikishova, Jalal Lakhlili, Wouter Edeling, Onnie Luk, Valeria Krzhizhanovskaya and Alfons Hoekstra has published a new paper on uncertainty quantification patterns for multiscale models in Philosophical Transactions of the Royal Society...
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News

  • July 22, 2021PhD position at the interface of statistical physics, information theory and computer science. 4 years, starting in the Fall of 2021
  • May 12, 2021Effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis
  • May 07, 2021Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model
  • April 22, 2021ASDI Grant 2020 awarded to study the impact of climate change adaptation on poverty traps
  • March 30, 2021Uncertainty quantification patterns for multiscale models
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