Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- University of Lund
- Chalmers University of Technology
- Linköping University
- Umeå University
- Nature Careers
- Blekinge Institute of Technology
- Karlstad University
- Lulea University of Technology
- Mälardalen University
- ;
- Swedish University of Agricultural Sciences
- WORLD MARITIME UNIVERSITY (WMU)
- Örebro University
- 4 more »
- « less
-
Field
-
bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
-
experience in building biological in-silico models, as well as knowledge of neural networks and machine learning. Experience working on research projects involving the construction of in-silico biological
-
, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental
-
systems, and machine learning. While the initial focus of the position is on this project, we offer significant opportunity for the applicant to develop their own independent research trajectory in
-
internationalisation, the intertwining of education and research, interdisciplinarity, as well as close and boundary-crossing collaboration with wider society. The Faculty’s research environment and PhD-education are
-
qualifications required for employment as associate professor. The Computer Vision Laboratory (CVL) is looking for an assistant professor in machine learning with a focus on motion analysis from video. CVL is a
-
software development. Documented experience or interest in Artificial Intelligence and Machine Learning development, Proficiency in written and oral communication in English. Place of employment: Karlskrona
-
of training in teaching and learning in higher education or to have acquired these skills in another way. Qualifications To be qualified, the applicant must have either a PhD degree in Statistics
-
that have occurred and through physical experiments or simulated evacuation experiments in a real environment. Recently, computer-generated elements or environments have also come to play a major role with
-
software development. Experience and interest in Artificial Intelligence and Machine Learning development. Proficiency in written and oral communication in English. Place of employment: Karlskrona