Events

Doctoral candidate Vanja Morisbak at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis 

         "Searching for new forces of Nature

  New neutral gauge bosons in dimuon final states with                            the ATLAS detector at the LHC"

for the degree of Philosophiae Doctor.

Velkommen til det årlige juleseminaret vårt! 

Doctoral candidate Marianne Etzelmüller Bathen at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis 

"Point defects in silicon carbide for quantum technologies: Identification, tuning and control"

for the degree of Philosophiae Doctor.

Doctoral candidate Sohail Musa Mahmood at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis 

“Exploring Single Event Effects in the ALICE (A Large Ion Collider Experiment) SAMPA chip”

for the degree of Philosophiae Doctor.

What do we mean by "learning programming", why do many find it challenging to learn, what are really the main challenges, which aspects do people in different settings need to learn and how do they best learn it? Geir Kjetil Sandve will give a brief introduction to a discussion where we look forward to hearing experiences and viewpoints inspired by the myriad settings where people in our environment have been involved in programming.

Doctoral candidate Marte Julie Sætra at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis "Computational modeling of ion concentration dynamics and metabolic oxygen consumption in brain tissue" for the degree of Philosophiae Doctor.

Deadline for handing in the Study agreement is December 1, and in this meeting we will go through this and other relvant forms.

Tor Ole Odden:

"The field of educational research has a massive literature base, with many journals that have been publishing articles for almost a century (or longer). How do we sort through and make sense of literature at this scale? We have begun using an unsupervised machine learning technique from the field of natural language processing, known as latent Dirichlet allocation, to analyze articles from the fields of physics education research and science education research. This technique allows us to extract latent themes, or topics, from the literature and quantify the rise and fall of those topics over time.

In this talk, I will present the basics of the technique, describe some of its underlying theory and applications, and showcase some of the trends that it reveals in how science education theory and practice has evolved over the last 20-100 years." 

December 1 is the deadline for handing in Study agreement and project description. Ahead of this you must find a supervisor and a master topic. This meeting showcased some possibilities.

Doctoral candidate John Mark Aiken at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis "Understanding University Student Pathways Towards Graduation with Machine Learning and Institutional Data" for the degree of Philosophiae Doctor.

Doctoral candidate Kristin Jensen at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis "Iterative reconstruction in CT imaging; Image quality and radiation doses" for the degree of Philosophiae Doctor.

Doctoral candidate Anna Kristine Fæhn Follestad at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis "Forecasting Space Weather Effects on GNSS Systems" for the degree of Philosophiae Doctor.

Doctoral candidate Christian Zimmermann at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis

"Revealing the Origin of electrically-active Defects in β-Ga₂O₃ and r-TiO₂ "

for the degree of Philosophiae Doctor.

Doctoral candidate Umair Najeeb Mughal at the Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis

"Study of a novel atmospheric icing monitor"

for the degree of Philosophiae Doctor.

Feel like you need some professional input and company these days, without it being too formal or requiring a lot of preparations? A meeting place where you can update each other on what you are working with, ask questions, and discuss while having a cup of coffee and something to eat?

Doctoral candidate Domas Birenis at the Department Of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis

“Fundamental investigations of hydrogen embrittlement by using electron microscopy”

for the degree of Philosophiae Doctor.

Join us and talk about how we change how we teach and learn at UiO these days. There will be a presentation followed by discussion and Q&A.

Link to event in the description