Previous events - Page 45
Welcome to our dScience lunch seminar in the Science Library! This event is open to everyone.
Welcome to the 2nd International Workshop on Surface Protonics – SUPR02 – 2023, organised by SMN/Department of Chemistry, University of Oslo.
This is a one-day workshop specifically for students in the final stages of writing up a doctoral thesis, and will cover topics important to finishing off a thesis.
Doctoral candidate Maksym Brilenkov at the Institute of Theoretical Astrophysics, Faculty of Mathematics and Natural Sciences, is defending the thesis "From theory to practice: Reproducibility and Open Science in the CMB field" for the degree of Philosophiae Doctor.
Douglas Wiens (Department of Mathematics and Statistical Sciences, University of Alberta, CAN) will give a talk on Wednesday April 19th at 14:15 in the Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor.
Doctoral candidate Xinwei Sun at the Department of Chemistry, Faculty of Mathematics and Natural Sciences, is defending the thesis "Quantification of surface protonic conduction in porous oxides" for the degree of Philosophiae Doctor.
Anders Kvellestad, FI
Weekly Theory Seminar.
Operator algebra seminar by Alexander Müller-Hermes (University of Oslo)
Welcome to the next seminar of the semester, where we will host a talk by Synne Bjørnestad (Doctoral Research Fellow, Progida Group, FYSCELL, IBV)
We have the pleasure of hosting Professor Maria Luiza Rocco (ufrj.br) from the Institute of Chemistry, Federal University of Rio de Janeiro, Brazil.
The 2023 Skibotn Hackathon will take place April 17-21 2023.
For mapping and exploring communities of both micro- and macro-organisms, high throughput sequencing (HTS) of environmental DNA has become a powerful approach. This can be done either through DNA-metabarcoding, focusing on a single marker, or DNA-metagenomics/metatranscriptomics, dealing with sequencing of all DNA/RNA in the samples.
Giovanni Toffol just submitted his PhD thesis at the University of Padova, Department of Geosciences.
Doctoral candidate Tamjidmaa Khatanbaatar at the Department of chemistry, Faculty of Mathematics and Natural Sciences, is defending the thesis "Partners in crime – Structure-function studies on chorismate mutases and their associated enzymes" for the degree of Philosophiae Doctor.
Welcome to our GEOHYD Lunch Seminar Friday 14th of April @ 12:15 in Aud. 2, Geology building, or via video link using Zoom. The seminar is held by Jukes Liu, Geo, Boise State University.
Is it difficult to set aside time to write? The Academic Writing Centre organsises structured writing sessions for doctoral students.
Title: Radiative properties of microplastics at a global scale
Speaker: Laura Revell, University of Canterbury
Kjøre på/Let's go! Everyone knows Anolis are super cool!
This week's lunch seminar is cancelled!
Doctoral candidate Victoria Ariel Bjørnestad at the Department of Chemistry, Faculty of Mathematics and Natural Sciences, is defending the thesis "Surfactant Micelles and Structural Pathways for Solubilization of Lipid Membranes" for the degree of Philosophiae Doctor.
Doctoral candidate Vemund Stenbekk Thorkildsen at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis Resolution analysis and enhancement in geophysical imaging and inversion for the degree of Philosophiae Doctor.
Victor Pozsgay, Imperial College (London)
Weekly Theory Seminar.
Velkommen til ny GeoOnsdag. Denne gangen får vi foredrag fra førsteamanuensis Kristina Dunkel om mineralreaksjoner.
This course aims to prepare researchers to be supervisors either at an early supervisor stage or before entering the role and is tailored for young researchers in biotechnology and life sciences.
Variable selection methods based on L0 penalties have excellent theoretical properties to select sparse models in a high-dimensional setting. There exist modifications of BIC which either control the family wise error rate (mBIC) or the false discovery rate (mBIC2) in terms of which regressors are selected to enter a model. However, the minimization of L0 penalties comprises a mixed integer problem which is known to be NP hard and therefore becomes computationally challenging with increasing numbers of regressor variables. This is one reason why alternatives like the LASSO have become so popular, which involve convex optimization problems which are easier to solve. The last few years have seen some real progress in developing new algorithms to minimize L0 penalties. We will compare the performance of these algorithms in terms of minimizing L0 based selection criteria.
Simulation studies covering a wide range of scenarios which are inspired by genetic association studies are used to compare the values of selection criteria obtained with different algorithms. Additionally some statistical characteristics of the selected models and the runtime of algorithms are compared.