Previous events - Page 20

Let X be a variety, and (F_n) a sequence of coherent sheaves on the n-th symmetric products Sym^n X. Following Okounkov, we consider the notion of (F_n) being factorisable. Roughly speaking, this means that over points of Sym^(m+n) X corresponding to the union of disjoint configurations in Sym^m X and Sym^n X, the sheaf F_{m+n} is the tensor product of F_m and F_n. Completing a partial argument by Okounkov, we show that if (F_n) is factorisable, then the generating function of Euler characteristics of F_n is the plethystic exponential of a generating function of Euler characteristics of sheaves on X. I'll explain why this is true and why it's useful.

AI for sustainability and sustainable AI. On this occasion, we focus on sustainable AI with expert in economics, climate and energy research. The event is in the scopes of the Norwegian AI-Centre SURE-AI and intersects the interests of the Research Thematic Group Unruly Sustainability.

The use of Machine Learning (ML) models in research is not a novel concept, especially in quantitative spaces. Yet, many questions arise from qualitative researchers in connection with the trustworthiness of the results due to the "black box" nature of the models and the overall decision-making process. Of the different types of qualitative data, text is most associated with the application of ML methods, specifically from the domain of Natural Language Processing (NLP).

Title: Measuring clouds and aerosols with the e-Profile ceilometer network

Speaker: Augustin Mortier, Norwegian Meteorological Institute

While publications are often visible in databases, other activities and open science outputs can remain difficult to discover. In this session, we will discuss opportunities for researchers to improve their visibility online through researcher profile services and social media.

We invite you to the March RoCS Solar/Stellar Lunch. You are invited to discuss your work with colleagues.

Welcome to this week's lunch seminar in the dScience lounge with Postdoctoral Fellow Camilla Lingjærde. She will present why many machine learning models fail in new environments and introduce Constrained Random Forest, a method for learning predictive patterns that remain stable when conditions change.

Are you a researcher at UiO who develops medical device? At this event we introduce you to Medical Device Guidance a new innovation service from the UiO Growth House. The services gives you a step-by-step overview of the processes you have to go through to ensure that your device is developed according to regulatory requirements in EU. 

Doctoral candidate Giulia Monopoli at the Department of Mathematics will be defending the thesis AI Tools and Computational Modeling for Mitral Valve Disease: from Image-based Detection to Mechanistic Insights for the degree of Philosophiae Doctor.

Duarte Feiteira, University of Helsinki

_{Weekly Theory Seminar.}

Doctoral candidate Sri Nivas Chandrasekaran at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis A Generalized Mathematical Framework to Model Geoacoustic Properties of the Seabed for the degree of Philosophiae Doctor.

Andrew is a postdoctoral researcher in Statistical Machine Learning at the University of Limerick, Ireland. His research interests centre on developing methods at the intersection of statistical modelling and machine learning. He completed his PhD in 2024 where his research focused on statistically-based methods for neural networks, with a particular focus on model selection and interpretation. After his PhD, he spent some time in the pharmaceutical industry, working on Phase 3 clinical trials in the immunology therapeutic area.

Late Lunch Talk by Hendrik Bartolomaeus (University Hospital Würzburg)

Have you ever wondered if there is an idea for an innovation project or even a start-up buried in your piles of research data? Or, how to know if that idea is any good? Then this interactive and reflective workshop is for you!

Professor Francesco Massel will continue his lectures on quantum sensing. 

Behavioral Paradigms for Investigating Cognitive Development and Early-Life Sleep Disruption in Rodents

Doctoral candidate Erik Hide Sæternes at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis "I shall be too late!" Enhancing the efficiency and robustness of reservoir simulations through automated parameter tuning and adaptive time stepping for the degree of Philosophiae Doctor.

As the world transitions toward a less carbon-intensive and more electrified energy system, demand for copper and other critical minerals is expected to far outstrip current supply. One proposed solution is to mine polymetallic nodules found on the abyssal plains of the ocean floor.

Jiaxin is a geophysicist currently working as a Researcher in the Geophysics, Glaciology and Oceanography Group at The Arctic University of Norway.

Hylleraas seminar, hosted in Oslo

Doctoral candidate Jonas Thoen Faber at the Institute of Theoretical Astrophysics, Faculty of Mathematics and Natural Sciences, is defending the thesis "A detailed view of solar flare ribbons" for the degree of Philosophiae Doctor.

Doctoral candidate Amanda Johansen Di Biagio at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis Nature-based solutions: Quantification of the hydro-mechanical effects of forests on slope stability for the degree of Philosophiae Doctor.

Title: Observational and Modeling Studies of the Atmosphere from Antarctica, to the Arctic, and to Norway

Speaker: Mark Seefeldt, University of Colorado – Boulder