Tidlegare arrangement - Side 52

Thanushika is a postdoctoral researcher at ETH Zürich, and an Assistant Professor of Geodynamics and Tectonics at Vrije Universiteit Amsterdam.

Neural Operator-based Optimal Control

Doctoral candidate Luca Gazdag at the Department of Mathematics will be defending the thesis Computability theory for deep learning and matrix optimization for the degree of Philosophiae Doctor.

Hylleraas seminar, hosted in Oslo

Earthquake, landslide, and glacier instabilities are multi-scale processes that cannot be predicted. When a rock is subjected to large stress, it can develop fractures that grow and connect to form a network. This network of fractures spans the entire rock right before it fails catastrophically. Despite extensive research on rock damage, researchers are still far from being able to predict when a rock will fail. Here, I will show how to use a multi-view convolutional neural network model to identify characteristics of a failing rock. By training a neural network model on images of rock samples exposed to different levels of stress, one can predict how close a rock is to failure. The neural network model outperforms traditional estimates based on fracture density. More importantly, the model provides fundamental insight that may offer precursory information on impending material failure. For instance, according to the model, the angle of the fracture plane relative to the principal loading direction becomes a key factor contributing to failure.

Eilif Sommer Øyre, Rosseland Centre for Solar Physics (RoCS), UiO.

Dear 3rd semester KJEMI/MENA and 2nd semester Lektor

Based on preprints https://arxiv.org/abs/2006.07213 and https://arxiv.org/abs/2406.05382.

QOMBINE Seminar by Chloe Kim (University of Illinois Urbana-Champaign)

By Prof. François Renard, University of Oslo

Join us for an evening with short talks from young researchers. Grab some snacks and learn about exciting research in sustainable energy and the energy transition. This event is open to everyone - bring friends and family for an evening of interesting talks from inspiring scientists.

QOMBINE seminar by Roy Araiza (University of Illinois at Urbana-Champaign)

Andreas Haraldsrud is going to talk about how we can use computers to widen our understanding of proteins. Note: this seminar will be held in Norwegian. 

Som MN-student kan du bestille karriereveiledning med UiO Karriere. Hver mandag fra kl 11-15 er karriereveileder tilstede i Vilhelm Bjerknes' hus for ta en prat om smarte valg underveis i studiene, jobbsøkerprosessen og jobbmuligheter.

Rachael is the founder and managing director of CarbStrat.

Hylleraas seminar, hosted in Tromsø

Doctoral candidate Simon Boge Brant at the Department of Mathematics will be defending the thesis Selected topics in regression with a binary outcome: Fraud detection, and applications of copulas to logistic regression for the degree of Philosophiae Doctor.

Jonas Gahr Sturtzel Lunde, Institute of Theoretical Astrophysics, UiO.

Thomas Nagler is a Professor of Computational Statistics \& Data Science at the Department of Statistics, LMU Munich, and a principal investigator at the Munich Center for Machine Learning (MCML).

Previously, he held positions as an assistant professor at TU Delft and Leiden University, following a PhD in Mathematical Statistics from TU Munich.

His research lies at the intersection of mathematical and computational statistics. His group develops statistical methods, establishes theoretical guarantees, and designs scalable algorithms, which are packaged into user-friendly software. He also regularly collaborates with domain experts to tackle challenges in diverse application areas.

Dear 1st semester students!

C*-seminar by Ulrik Enstad.

Det er tid for høstens informasjonsmøter og Postertorg! Alle bachelorstudenter på Kjemisk institutt er velkomne.

Temakveld med siste nytt fra solfysikkforskningen.