events - Page 9

Time and place: , Rom Ø434, Fysikkbygningen

Using Machine Learning to Predict the Effects of Deep Brain Stimulation on Axonal Pathways

Time and place: , Ø434, Fysikkbygget

Programrådsleder Morten Hjorth-Jensen vil orientere om programmet.

Time and place: , Ø434, Physics Building

Morten Hjorth-Jensen will present the programme.

Time and place: , UiA-teltet, Arendal

Norway has a lower proportion of R&D than our Nordic neighbours and countries we like to compare ourselves to, measured as a percentage of GDP. The proportion of R&D carried out and financed by industry is particularly low. The government aims to do something about this and the goal is for R&D investment in the industry to reach two per cent of GDP by 2030. A strategy to achieve the goal is underway. The goal corresponds to almost a doubling in eight years – how can this be achieved?

Time and place: , Ø434, Fysikkbygget

Informasjon om hva du bør kunne og hvor du kan finne ressurser.

Time and place: , Origo, Fysikkbygget

Fysikkforeningen stiller med brettspill til en spillkveld i Fysikkbygningen.

Time and place: , Thon hotel Arendal

Norway  wants become leading in health industry. What does the government's road map for the health industry and the value chains we present at the meeting mean for the work going forward?

Time and place: , The Lawn south of the Physics Bulding

In the Master Week there will be BBQ and open student pubs most nights.

Time and place: , Gressbakken på sørsiden av Fysikkbygget

I velkomstuka vil det være grilling og åpne studentkjellere de fleste kvelder. 

Time and place: , Rom Kelvin, Fysikkbygningen

Excotic ground states in the honeycomb J1-J2 Heisenberg model

Time and place: , Lille fysiske auditorium, Fysikkbygningen

Approaching Strictly Localized Optical States

Time:

Study of Ultra-Fast Laser Cooling of Positronium For Future Laser Developments at The AEgIS Experiment at CERN

Time and place: , Institutt for informatikk

Bioimpedance Measurements on a CMOS Microelectrode Array

Time and place: , Lille fysiske auditorium, Fysikkbygningen

Searching for Dark Matter with CTA

Time and place: , Møterom "Awk", Ole-Johan Dahls hus (rom 3118)

Parameters of the Capon beamformer in medical ultrasound imaging

Time and place: , Rom Ø397, Fysikkbygningen

Accelerating Spike Metrics Using Siamese Neural Networks

Time and place: , Rom Ø434, Fysikkbygningen

Towards Understanding Robustness of Neural Networks using Local Learning Rules

Time and place: , Rom Ø397, Fysikkbygningen

A phenomenological study of heavy neutrinos and the seesaw mechanism

Time and place: , Rom Ø434, Fysikkbygningen

Search for Dark Matter using Machine Learning in dilepton and missing energy events with the ATLAS detector at the LHC

Time and place: , Rom Ø397, Fysikkbygningen

Development and Verification of a High-Resolution X-ray Spectroscopy Line Scanner

Time and place: , Kristian Birkelands auditorium, Fysikkbygningen

Statistical properties of Mo-96 and Mo-100

Time and place: , Rom Ø397, Fysikkbygningen

Ionospheric Ion Composition Changes During Geomagnetic Storms

Time and place: , Rom Ø434, Fysikkbygningen

Patient Specific Robust Optimisation Strategies for Mitigation of Intra-Fractional Motion Effects on Proton Beam Therapy of Lung Cancer

Time and place: , Lille fysiske auditorium, Fysikkbygningen

Analytic description for synchronization of two-level quantum systems

Time and place: , Rom Ø434, Fysikkbygningen

Implementation of Beyond the Standard Model Z’ models using reweighting tools applied on PowHeg and Sherpa