Previous events - Page 62

Join us at the dScience lunch seminar to hear Anne Maria Eikeset and Kjetill S. Jakobsen discuss how genome sequencing is transforming biodiversity research and opening new possibilities for the public sector and industry.

The Chameleons of the Mines – Cryptic Species Diversity in the Crustose Lichen Genus Bellemerea in Norway

Doctoral candidate Nastaran Moussavi at the Department of Pharmacy, Faculty of Mathematics and Natural Sciences, is defending the thesis "From Ethnopharmacology to Therapeutic Potentials: Investigating Bioactive Compounds in the Traditional Medicinal Plants Securidaca longepedunculata and Sideritis scardica" for the degree of Philosophiae Doctor.

Rossi et al in Nature 2024

As a researcher, one faces numerous challenges, both professionally and personally. Stress, difficulties in prioritization, a focus on performance, and uncertainty about future career paths often characterize daily life.

This interactive workshop will introduce the Career Health Model™, offering practical tools to support researchers in managing stress, setting clear boundaries, and achieving a sustainable work-life balance.

Leiv Rønneberg is a DSTrain Postdoctoral Fellow at the Department of Mathematics and affiliated with The Norwegian Centre for Knowledge-driven Machine Learning (INTEGREAT) at the University of Oslo. Prior to this he was a Research Associate at the MRC Biostatistics Unit at the University of Cambridge, and completed his PhD in Biostatistics at the University of Oslo in 2022. His interests are broadly within the realms of probabilistic machine learning, and connections to Bayesian nonparametrics.
 

Investigating the Role of Tumor-Associated Macrophages in a Drosophila Carcinoma Model

The bumpy ride of bacterial blebology from nuisance and basic science to excitement and innovation.

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.

Doctoral candidate Petra Hatalova at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis Formation of rocky exoplanets around K-dwarf stars and their compositional diversity for the degree of Philosophiae Doctor.

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)

Identifying Epigenetic Markers of Response to Aromatase Inhibition Treatment in Estrogen Receptor Positive Breast Cancer

Master the essentials of version control with a hands-on introduction to git and GitHub. This workshop covers the basics, guiding you through practical demos, collaborative projects, and advanced features, ensuring you can manage code versions efficiently. Ideal for researchers, PhD students, and postdocs with some programming experience. 

The workshop takes place over two days: Monday, 11th November, 09:00-12:00, and Thursday, 14th November, 13:00-16:00.

Title: Estimating climate sensitivity based on observational data

Speaker: Ragnhild Skeie, CICERO

By Prof. François Renard, University of Oslo

This week’s dScience lunch seminar delves into one of AI’s pressing challenges: how to balance explainability and accuracy in complex machine learning models. Poushali Sengupta, Ph.D. Research Employee at the Department of Informatics, will introduce ExCIR (Explainability through Correlation Impact Ratio), a novel method that addresses this trade-off.

Analysing demographic responses to a stochastic environment

Welcome to the opening ceremony of the Mars Sample Return Analogue Sample Library (MSR ASL) at University of Oslo, Thursday 14th of November, 2024.  This official opening event and seminar will take place at Natural History Museum at Tøyen Hovedgård, Oslo.