Tidlegare arrangement - Side 41

Hylleraas seminar, hosted in Oslo

Ph.d.-kandidat Kilian Krikova ved Institutt for teoretisk astrofysikk, Det matematisk-naturvitenskapelige fakultet, vil forsvare avhandlingen "Small-scale energetic phenomena in Hε: line formation and diagnostic potential" for graden Philosophiae Doctor.

Uneven solid surfaces are ubiquitous in Nature and can significantly impact fluid flow over them. In this presentation I will discuss two different configurations were the wall unevenness govern fluid transport.
First, I will consider wet ceilings. When liquid is coated on an upside-down surface, it destabilizes to form pendant drops surrounded by a thin film of liquid. I will show that these pendant drops ‘feel’ surface defects even though they have no contact line. The defects induce a gravito-capillary pinning-like force that can be harnessed to control the drop motion.
Second, I will consider hairy pipes. Many biological surfaces are covered with long and elastic filaments or ‘hairs’. I will show that when a fluidic channel is covered with hairs, the hydraulic resistance can become non-linear. This non-linearity is mediated by the hair flexibility and degree of channel obstruction and can be rationalized with a multi-scale model.

Bo Andersen, Guest Researcher at Institute of Theoretical Astrophysics, UiO.

“Cyclometalation of (N,C)ligands and synthesis of arylated gold(III)complexes”

“Utvinning av kritiske mineraler fra Bordvedåga - En studie av HCl-utlaking og væske-væske ekstraksjon av beryllium, platinagruppemetaller, sjeldne jordarter, thorium og uran”

Aker Scholarship er et stipend for deg som ønsker å ta en mastergrad eller doktorgrad ved et av verdens ledende universiteter. Stipendet ønsker søkere fra alle fagfelt.

Dear 2nd semester KJEMI/MENA and 1st semester Lektor

Aker Scholarship er et stipend for deg som ønsker å ta en mastergrad eller doktorgrad ved et av verdens ledende universiteter. Stipendet ønsker søkere fra alle fagfelt.

Boreal lakes: analogous of the ancient ocean?

Møt rådgivere på innovasjon fra Veksthuset for verdiskaping. Møt dem på Kjemisk institutt eller avtal et møte for å diskutere innovasjonsideen din.

“Synthesis and Characterization of monometallic Cu Nanoparticles and Zirconium and Cerium UiO-66”

Arnt-Børre Salberg is a Chief Research Scientist at the Norsk Regnesentral, affiliated with the Department of BAMJO (Image Analysis, Machine Learning and Earth Observation).  

His research primarily focuses on the developing deep learning, computer vision, and remote sensing methods to image data. This includes work on forest mapping and monitoring, marine science applications, coastal habitat mapping, foundation models, and analysis of data from various sensors like satellites, seismic, and marine echosounders.

This week, Shaukat Ali will tell us about quantum extreme learning machines. Shaukat is a Chief Research Scientist at Simula, where he works on various aspects of quantum software engineering: 

Hylleraas seminar, hosted in Tromsø

It is time for our monthly mingle meeting. Students and employees at the institute will meet up for informal chat.

Kjære bachelorstudenter med prosjektoppgave (KJM3010/20, MENA3020)

I will explain how to use the motivic volume formula and toric degenerations to study the rationality problem for complete intersections in Grassmannians, in particular Gr(2,5).

Hélène Ruffieux is a Senior Research Fellow at the MRC Biostatistics Unit, University of Cambridge. She holds a PhD in Mathematics from EPFL, Switzerland. Her research interests broadly lie in the development of Bayesian methods and their application to open problems in biomedicine, with a focus on scalable hierarchical modelling approaches for variable selection, latent structure discovery and network estimation, in high-dimensional or temporal data settings.

Doctoral candidate Tom Frode Hansen at the Department of Informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Machine Learning for Rock Mass Assessment and Decision-Making in Underground Construction - Towards a Reproducible and Trustworthy ML-Modelling Process for the degree of Philosophiae Doctor.