Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Lulea University of Technology
- Uppsala universitet
- Linköping University
- Umeå University
- KTH Royal Institute of Technology
- Karolinska Institutet
- Luleå University of Technology
- Mälardalen University
- University of Borås
- Blekinge Institute of Technology
- Högskolan Väst
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Nature Careers
- University of Lund
- 7 more »
- « less
-
Field
-
relevant to both the healthcare sector and society at large. We are looking for a PhD student in Biomedical Engineering Sciences in the field of biological systems modeling and deep learning Your work
-
corresponding to at least 240 higher education credits in electrical engineering, engineering physics, biomedical engineering, or related disciplines. Very good knowledge of signal processing, machine learning
-
from automated vehicles (AVs), they must be both safe and appreciated by drivers. This project uses modeling (e.g., AI/machine learning) and human behavior data to predict perceived safety and quantify
-
reducing the overall carbon footprint and promoting ecological responsibility. As a PhD student, you will join our Machine Learning group in Sustainable Machine Learning. As part of our dynamic research
-
communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en/organisation/liu/isy/ks . The Division
-
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
-
application! At the Department of Electrical Engineering, Division of Automatic Control, we are now looking for a PhD student, to be admitted to the WASP graduate school. Your work assignments The research area
-
This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
-
on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML
-
Electrical Engineering, Space Technology, Computer and Systems Science. We are now looking for a PhD student who can contribute to our growing activities in electrodynamic calculations at the EISLAB division