325 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" research jobs in Sweden
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Karolinska Institutet (KI)
- Linköping University
- Swedish University of Agricultural Sciences
- Nature Careers
- KTH Royal Institute of Technology
- SciLifeLab
- Umeå universitet stipendiemodul
- Lulea University of Technology
- Uppsala universitet
- Umeå University
- Sveriges Lantbruksuniversitet
- Luleå University of Technology
- Luleå tekniska universitet
- Stockholms universitet
- Umeå universitet
- Blekinge Institute of Technology
- Karlstad University
- Örebro University
- KTH
- Lund University
- Mälardalen University
- University of Borås
- IFM, Linköping University
- Jönköping University
- Linnaeus University
- SLU
- Faculty of Culture and Society
- Göteborgs Universitet, Institution för kemi och molekylärbiologi
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Karlstads universitet
- Linköpings universitet
- Linneuniversitetet
- Luleå university of technology
- Mid Sweden University
- Stockholm University
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 33 more »
- « less
-
Field
-
year. You should have knowledge and experience in bridging quantum and classical machine learning, and be fluent in English, both written and spoken. Assesment criteria Qualifications that are considered
-
assays, complemented by mass-spectrometry-driven chemical profiling and machine-learning-supported multivariate analysis. Where relevant, CRISPR-Cas-based genetic perturbations in mammalian cell models
-
for a postdoc to join our team at the Division of Systems and Control, Department of Electrical Engineering. Become part of our innovative group and contribute to exciting research in learning-based
-
to contribute to a positive work environment. We also value the ability to work independently in carrying out work tasks, as well as openness to learning new skills and taking on new responsibilities. We value
-
The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
-
by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
-
: Applied mathematics; Machine Learning; Mathematical Modelling Appl Deadline: 2026/03/24 10:59 PM UnitedKingdomTime (posted 2026/03/18 04:00 AM UnitedKingdomTime, listed until 2026/04/01 04:59 AM
-
diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
-
. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
-
learning-based control within a collaborative and dynamic environment. About us At the department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and