Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Umeå University
- SciLifeLab
- Linköping University
- KTH Royal Institute of Technology
- Lunds universitet
- Uppsala universitet
- Swedish University of Agricultural Sciences
- University of Borås
- Jönköping University
- Umeå universitet
- Karlstad University
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Nature Careers
- Karolinska Institutet (KI)
- Blekinge Institute of Technology
- Göteborgs Universitet
- KTH
- Karlstads universitet
- Luleå University of Technology
- Mid Sweden University
- Mälardalen University
- Umea University
- Faculty of Technology and Society
- IFM, Linköping University
- Kungliga Tekniska högskolan
- Linnaeus University
- Malmö university
- SciCross
- SciLifeLab / Uppsala University
- Stockholms universitet
- Umeå universitet stipendiemodul
- University of Gothenburg
- Örebro University
- 26 more »
- « less
-
Field
-
international networks and contribute to increasing research funding at the national and international levels. You are expected to collaborate with the wider community for mutual exchange, as well as work towards
-
Offer Description Summary One PhD position is available at SciCross AB, Skövde, Sweden, within the EU-funded Marie Skłodowska-Curie Actions (MSCA) Doctoral Network LipidBRIGHT. The project has a duration
-
researchers and have access to high-performance computing, university servers, as well as a rich national network of neuroscience expertise through SciLifeLab and the DDLS Research School. We promote a good
-
experienced researchers and have access to high-performance computing, university servers, as well as a rich national network of neuroscience expertise through SciLifeLab and the DDLS Research School. We
-
application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments The research area for the position is complex networks and multi-agent
-
communication networks using AI-powered methods. We will advance the research front in defending future generation networks by: prevention of cyberthreats through anticipating and mitigating them, accurate
-
increasing risks from cyberattacks exploiting vulnerabilities in digital communication networks, embedded hardware, and software. These attacks have far-reaching consequences, including the potential
-
are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The Division for Secure and Networked Systems within the Department of Electrical
-
multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta
-
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 The Secure and Networked Systems Division