Sort by
Refine Your Search
-
Listed
-
Employer
- Lunds universitet
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Uppsala universitet
- Umeå University
- Karolinska Institutet (KI)
- Nature Careers
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Lund
- KTH
- Linköping University
- SciLifeLab
- Örebro University
- Chalmers tekniska högskola
- IFM, Linköping University
- Karolinska Institutet
- Linköping university
- Linköpings universitet
- SLU
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- chalmers tekniska högskola
- 13 more »
- « less
-
Field
-
machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
-
scientific curiosity Mastery of data visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently
-
, regression models or machine learning. Applicants from clinical hepatology with experience in the above fields can also be interesting. You will work in an interdisciplinary and international research
-
. Documented knowledge and experience in computational metabolomics, computational biostatistics, statistical and machine learning, involving analysis of biological multi-modal and multivariate data, or related
-
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
-
Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work may include clinical and biomedical projects. It may
-
HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
-
. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose
-
methods to rigorously assess the safety and effectiveness of medications in real-world patient populations. Defining individualized treatment strategies: Leveraging traditional and causal machine learning
-
, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances, as well as clinical practice or other forms of appointment / assignment relevant