News
HPCLab research group news
Tips for designing social welfare and healthcare sector’s digital services for all
Tips for designing social welfare and healthcare sector’s digital services for all.
Evidence of turbulent dynamo action in the Sun
Astroinformatics research group has determined magnetic helicity spectrum from the solar surface observations using the recently developed two-scale formalism.
Surface gravity oscillation mode shows remarkable solar cycle dependence
12 years of satellite data was used to reveal an enigmatic behaviour of the surface-gravity wave energy contained in the most quiet regions on solar surface.
Machine learning meets medicine in the fight against superbugs
Modeling how MRSA bacteria spread on the body can enhance treatments.
Summer employee positions at the Department of Computer Science 2022
We are looking for BSc or MSc degree students at Aalto or some other university to work with us during the summer 2022.
Dust destruction in Supernova blast waves
A supernova explosion blasts hot supersonic plasma, destroying more interstellar dust in its path than fits current theory or observations of dust abundances in early galaxies.
How important is turbulence in the solar dynamo?
Aalto scientists show that all turbulent effects are decisive.
Small-Scale Dynamo in Supernova-Driven Interstellar Turbulence?
Yes: simulations confirm small-scale dynamo action in the interstellar medium.
Helsinki ICT network: Doctoral student positions in computer science
The participating units of HICT have currently funding available for exceptionally qualified doctoral students.
Public transport networks
In our research project we aim to collect public transport timetable data around the world, curate the data, and publish it in a variety of formats available to be used for both transit planners as well as network scientists.
Community detection in complex networks
Most networks are not homogenious, meaning that some sets of nodes are more connected among themselves than to the rest of the network. The aim of community detection is to study this mezo-scale structure and devise algorithms that would identify these sets of nodes.
Circadian rhythms
e are currently working on both massive databases of auto-recorded digital data as well as personal sensors (wristbands, bed sensors) to study circadian patterns.
Competitive call for Department’s co-funded doctoral student positions
The Department of Computer Science opens a competitive funding call for doctoral students.