Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- Swedish University of Agricultural Sciences
- Luleå University of Technology
- Lunds universitet
- Sveriges lantbruksuniversitet
- Uppsala universitet
- Lulea University of Technology
- University of Gothenburg
- University of Lund
- Uppsala University
- 2 more »
- « less
-
Field
-
3 May 2024 Job Information Organisation/Company Chalmers University of Technology Research Field Architecture » Design Researcher Profile First Stage Researcher (R1) Country Sweden Application
-
to the development and consolidation of the research area known as Architecture, Building & Society. This interdisciplinary field merges architectural design and sociology, emphasizing the interaction between spatial
-
faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning
-
integrated circuit and system design, where theoretical studies of system-level requirements as well as circuit design and verification of advanced architectures are included. Efficient implementations
-
the architecture to quality assurance and platform implementation. Enhance the performance of the system for executing quantum programs by contributing to and improving the automatic calibration and optimisation
-
home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture
-
Labs Testbed and contribute to the development work through an opensource codebase. Participate in the entire development process, from planning the architecture to quality assurance and platform
-
conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The
-
conducts research and education in engineering sciences, architecture, mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy
-
. Previous experience with large data analytics, knowledge graph, large language models, and Python programming using deep learning architectures. Theoretical background in machine learning and transportation