Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Nature Careers
- Chalmers tekniska högskola
- Linköping University
- KTH Royal Institute of Technology
- Umeå University
- Umeå universitet stipendiemodul
- Linnaeus University
- Luleå University of Technology
- SciLifeLab
- Jönköping University
- Linneuniversitetet
- Lunds universitet
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- University of Lund
- chalmers tekniska högskola
- 8 more »
- « less
-
Field
-
Uppsala University, Department of Information Technology In this project we will conduct research towards trustworthy and robust use of neural networks with applications in epidemics. We consider a
-
for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from theoretical computer science to applied systems development. We provide high-quality
-
University of Gothenburg as principals. The position is placed in the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from
-
Application Deadline 29 Nov 2025 - 22:00 (UTC) 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 304--1
-
23 Oct 2025 Job Information Organisation/Company chalmers tekniska högskola Research Field Computer science Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 1 Dec
-
Nov 2025 - 22:59 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
-
Application Deadline 10 Nov 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
-
research in design and optimization of turbomachinery, reactive fluid dynamics, multi-phase and turbulent flows, innovative technologies for biomass conversion, neural network systems, and artificial
-
, statistical signal processing, implementation of signal processing systems, distributed intelligence and computing, and network science. Our work uses tools from statistical signal processing, information and
-
leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic research with real-world applications. Research environment The Optical Networks (ON) Unit