Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Umeå University
- Linköping University
- Lulea University of Technology
- University of Lund
- Uppsala universitet
- Lunds universitet
- Stockholms universitet
- Chalmers University of Technology
- Karolinska Institutet, doctoral positions
- SciLifeLab
- Jönköping University
- Linköpings universitet
- Luleå tekniska universitet
- Luleå university of technology
- Nature Careers
- Sveriges Lantbruksuniversitet
- Umeå universitet
- University of Borås
- Karlstad University
- Luleå University of Technology
- Mälardalen University
- European Magnetism Association EMA
- KTH Royal Institute of Technology
- Karlstads universitet
- LInköpings universitet
- Lule university of technology
- Luleå
- Stockholm University
- 19 more »
- « less
-
Field
-
precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
-
application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
-
social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
-
of the upper atmosphere and ionosphere. The Swedish Space Corporation (SSC), with its facility Esrange, provides services and infrastructure for access to space. The Department of Computer Science, Electrical
-
theoretical understanding of hydrology, boundary layer meteorology, and arctic ecosystem dynamics will be ideal for the planned work. Strong quantitative skills, including programming, numerical modeling and
-
:59 (Europe/Stockholm) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number PA2026
-
- Ångström Laboratory Research Field Chemistry » Structural chemistry Chemistry » Computational chemistry Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 8 Jan 2026 - 22:59
-
within the Structural Chemistry research programme at the Department of Chemistry-Ångstöm Laboratory. The project specifically aims to develop a sustainable, cost-effective method to transform biomass
-
at Master’s level in Computer Science, Electrical Engineering, or Applied Mathe- matics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace We are looking for a