Forsknings­arrangementer

Kommende 5 dager

i dag nov.
Tid og sted: , Nucleus, Bikuben, Kristine Bonnevies hus

PhD candidate Aylin Cengiz at the Department of Biosciences, Faculty of Mathematics and Natural Sciences, is defending the thesis «Genome instability in meiotic oocyte lacking m⁶A eraser ALKBH5» for the degree of PhD.

06. nov.
Tid og sted: , Tøyen hovedgård

Doctoral candidate Erik Johan Möller at the Natural History Museum will be defending the thesis "Integrative Taxonomy and Molecular Identification of Crustose Lichens on Heavy Metal Rock with a focus on the Rhizocarpaceae and Tremolecia" for the degree of PhD (Philosophiae Doctor).

Flere kommende arrangementer

Tid og sted: –, NHA 1020

PDE seminar by Dmitry Shepelsky (National Academy of Sciences of Ukraine)

Tid og sted: –, Aud. 3, Kristine Bonneveis Hus

Vi inviterer til folkeforskningskveld om Oslofjorden. For tredje år på rad inviterer vi til folkeforskningskveld om Oslofjorden! Tradisjonen tro får vi besøk av forskere fra UiO og andre fagmiljøer som vil dele sine nyeste funn. Målet med kvelden er å se på hvordan vi sammen kan bidra til å forbedre og bevare økosystemene i fjorden vår. Velkommen til en spennende og viktig kveld!

Tid og sted: –, Auditorium 3, Life Science Building

Doctoral candidate Claudia Fabris at the Department of Chemistry, Faculty of Mathematics and Natural Sciences, is defending the thesis "Investigating the influence of modified zeolite Y on the catalytic pyrolysis of polymers and on the MTH reaction" for the degree of Philosophiae Doctor.

Tid og sted: –, Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor

Anders Rønn-Nielsen is an associate professor of statistics at the Department of Finance at Copenhagen Business School, where he also serves as coordinator of the Center for Statistics. He joined Copenhagen Business School in 2017, following positions at the University of Copenhagen and Aalborg University. He received his PhD in statistics from Aarhus University in 2010. 

His research interests include extreme value theory, Lévy-based modelling, statistical methods in efficiency analysis, and financial transfer learning. His work spans both theoretical and applied statistics, with recent research focusing on extreme value theory for spatial random fields, statistical testing in nonparametric efficiency analysis, and transfer learning in financial prediction.

Tid og sted: –, NHA 1020

PDE seminar by Dmitry Shepelsky (National Academy of Sciences of Ukraine)