Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Chalmers University of Technology
- Lulea University of Technology
- Umeå University
- Uppsala universitet
- SciLifeLab
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- Luleå University of Technology
- Mälardalen University
- School of Business, Society and Engineering
- Stockholms universitet
- Umeå universitet
- University of Lund
- 4 more »
- « less
-
Field
-
implications of AI-enabled conversational guides for enhancing visitors’ learning and experiences in public educational environments. The PhD student will focus on addressing the challenge of visual blindness in
-
possible. As an associate researcher with expertise in the field of machine learning within InfraVis/CIPA, you will have access to both local and national colleagues for stimulating exchanges, discussions
-
quantified, and machine learning will be used. Duties As a PhD student, you will work toward a doctoral degree as the final goal, according to the goals specified in the Higher Education Ordinance. In parallel
-
conversational guides for enhancing visitors’ learning and experiences in public educational environments. The PhD student will focus on addressing the challenge of visual blindness in large language models (LLMs
-
. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science, or possibly design or cognitive science as main subject) and one at Tema Technology
-
analyses and machine learning. Some data for the project already exist, but additional data will be collected from behavioural tests on privately owned pet dogs in Sweden and abroad (Europe). Travel and time
-
work with large-scale behavioural data sets using a range of approaches, including heritability analyses and machine learning. Some data for the project already exist, but additional data will be
-
research in the areas of condensed matter physics, nanotechnology, photonics, and theoretical and computational physics. We announce a PhD position for a project focusing on simulation and artificial
-
to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and
-
approaches that combine artificial intelligence, machine learning, natural language processing, and social sciences. This collaborative and cross-sectoral approach aims to produce robust methods for evaluating