Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Linköping University
- Lunds universitet
- KTH Royal Institute of Technology
- SciLifeLab
- Uppsala universitet
- Umeå University
- Nature Careers
- Karolinska Institutet (KI)
- Umeå universitet
- Blekinge Institute of Technology
- KTH
- Umeå universitet stipendiemodul
- University of Borås
- Jönköping University
- Lulea University of Technology
- Stockholms universitet
- Swedish University of Agricultural Sciences
- University of Lund
- Göteborgs Universitet
- IFM, Linköping University
- IFM/Linköping University
- Karolinska Institutet, doctoral positions
- LInköpings universitet
- Linköpings universitet
- Linnéuniversitetet
- Lule university of technology
- Luleå university of technology
- Lund University
- Malmö university
- Mälardalen University
- SLU
- Sveriges Lantbruksuniversitet
- Umea University
- University of Skövde
- Örebro University
- 26 more »
- « less
-
Field
-
now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se
-
of new technologies; a second will focus on policy analysis leveraging machine-learning approaches to investigate the effectiveness of different policies and policy mixes in accelerating technology change
-
precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
-
practical skills in the field of data science, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python
-
, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both
-
the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position In this role your responsibility is
-
conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
-
of Computer and Network Systems , we design secure, dependable and high-performance computer and communication systems that meet the demands of an increasingly digital and interconnected world. About the
-
tasks that require coordinated base-arm-hand behaviors in dynamic environments. We seek candidates with a strong background in robotics and machine learning, and demonstrated experience in at least two of
-
%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model