Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- KTH Royal Institute of Technology
- Lunds universitet
- University of Lund
- Blekinge Institute of Technology
- Jönköping University
- Karolinska Institutet (KI)
- Linköping University
- Linköping University (LiU)
- Lulea University of Technology
- Luleå University of Technology
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Borås
- University of Skövde
- Uppsala universitet
- universitypositions
- 9 more »
- « less
-
Field
-
, multi-omics analyses and systematic bioinformatics techniques is a strong advantage. Excellent programming skills (Python/R) and a solid training in AI or machine learning are highly preferred. A strong
-
candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
-
within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group has around 20 members
-
on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
-
on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
-
domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
-
programme in Information and Communication Technology. The Communication systems | Chalmers employs around 45 people, including 9 faculty and 25 PhD students, and is active in a wide range of topics in
-
: Onboarding and Integration, and Innovation and Creative Capacity. The work will focus on investigating how hybrid work arrangements influence learning, collaboration, innovation, and organizational performance
-
tasks include: AI support in the process chain: developing and applying image analysis, data process analysis, and sensor technology for textile production; using machine learning for process optimisation
-
eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service or similar circumstances, as well as clinical practice or other