events - Page 28

Personalized radiotherapy for patients with locally advanced cervical cancer

Exploring Fully Bayesian Unfolding for ϒ -ray Spectra

2D dosimetry and radiobiological modelling in GRID therapy

Density Driven Convection in Porous Media

Nuclear Excitation Functions For Medical Isotope Production: Targeted Radionuclide Therapy via NatIr(d,x)193mPt

Hvordan påvirker Andøya Mission Control: Oppdrag Solstorm elevers engasjement og motivasjon i naturfag?

Modelling membrane biophysics in layer V pyramidal cells. Contributions of different ion channel-encoding genes to neuron firing properties.

Computational Neuroscience for the Clinic: Transcranial stimulation for Parkinson's Disease

Generating artificial electrophysiological recordings with neuron action potentials using a GAN-network

Modelling and analysis of EEG signals

Using Machine Learning to Recreate Signals from the Primary Visual Cortex of Mice

Bioimpedance Microelectrode Array in CMOS Technology

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.

Bioimpedance Measurements on Cell Cultures - Fabrication of Microelectrode Systems: 3- and 4-point electrodes

RISC-V Processor Core Customization and Verification for m-NLP Applications

Tunable Gaussian Pulse Generator for Ultra-WideBand RADAR Applications in 65nm CMOS

On the Dynamics of the Autler-Townes effect

Development and characterization of Ga2O3-based MOSFET transistors for high power electronics

Programmering og dybdelæring i fysikk - en kvalitativ studie av elevers arbeid med programmering i fysikk 1

Using Deep Reinforcement Learning for Active Flow Control

Exploring a Network Model of the Mouse Primary Visual Cortex

Search for electroweak production of charginos and sleptons decaying into final states with two leptons and missing transverse momentum in √ s= 13 TeV proton-proton collisions using the ATLAS detector

Enabling new methods for assessing neuronal GABAergic cells - dielectric relaxation spectroscopy and machine learning

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.