82 machine-learning-"https:" "https:" "https:" "https:" "https:" Postdoctoral positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Employer
- Lunds universitet
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Uppsala universitet
- Karolinska Institutet (KI)
- Umeå University
- SciLifeLab
- Umeå universitet stipendiemodul
- University of Lund
- Chalmers tekniska högskola
- Nature Careers
- Umeå universitet
- KTH
- Linköpings universitet
- chalmers tekniska högskola
- Örebro University
- Karolinska Institutet
- Linköping University
- Linköping university
- Linköpings University
- SLU
- Sveriges Lantrbruksuniversitet
- Swedish University of Agricultural Sciences
- 13 more »
- « less
-
Field
-
statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity, be process-oriented and able to work independently. Being able
-
analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
-
measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning techniques and generative AI. A strong background in software engineering as well as some
-
conditions, and administrative and technical support, among other benefits. See more information at: https://www.umu.se/en/department-of-computing-science/. You will research in collaboration with
-
consists of 18 research groups covering a wide range of mathematical disciplines – from pure and applied mathematics to numerical analysis and optimization, as well as mathematical statistics and machine
-
strategies: Leveraging traditional and causal machine learning approaches to determine which patients are most likely to benefit from specific therapies. Digital pathology and image-based analyses (starting
-
trustworthiness modeling on multimodal data and machine learning models. The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven
-
science. You will be part of a dynamic research group with expertise in Earth Observation, geoinformatics, and machine learning, offering an excellent environment for advancing your research and building
-
and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
-
, and doctoral students active on both campuses. Learn more about the Department of Archaeology, Ancient History, and Conservation here: Department of Archaeology, Ancient History and Conservation