Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Linköping University
- Karolinska Institutet
- Uppsala universitet
- Lulea University of Technology
- Karolinska Institutet, doctoral positions
- Mälardalen University
- Swedish University of Agricultural Sciences
- University of Lund
- KTH Royal Institute of Technology
- Luleå University of Technology
- Nature Careers
- University of Borås
- Blekinge Institute of Technology
- Högskolan Väst
- Jönköping University
- Linnaeus University
- Lunds universitet
- Sveriges lantbruksuniversitet
- 11 more »
- « less
-
Field
-
Project Information The current position is associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy – Data-Driven Studies of Membrane Protein Function
-
multisite research project that investigates the possibilities and implications of AI-enabled conversational guides on visitors’ learning and experiences in public educational environments. The Department
-
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
-
Sciences division. This multidisciplinary team utilises a combination of machine learning and mechanistic modelling to derive models and scientific insights from data, which both support and enhance drug
-
. We care about creating a positive, respectful, and stimulating environment, valuing communication and collaboration and a workplace that promotes learning and development for all. We are committed
-
Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
-
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
-
Are you interested in developing computational tools and learning strategies for understanding health and disease at the microscopic scale? Would you like to be part of a research team with skilled
-
environmental and resource assessment methods Learn to acquire and communicate knowledge related to the PhD project Write research articles and other publications Present research at conferences Collaborate with
-
of MSI advances our understanding of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as