116 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Umeå University
- University of Lund
- SciLifeLab
- Jönköping University
- KTH Royal Institute of Technology
- Karlstad University
- Linköping University
- Linköpings universitet
- Nature Careers
- Chalmers University of Technology
- Lunds universitet
- Chalmers tekniska högskola
- Stockholms universitet
- Umeå universitet
- Örebro University
- European Magnetism Association EMA
- Högskolan Väst
- KTH
- Luleå University of Technology
- Malmö universitet
- NORDITA-Nordic Institute for Theoretical Physics
- SLU
- Swedish University of Agricultural Sciences
- Uppsala universitet
- 14 more »
- « less
-
Field
-
in artificial intelligence (AI) to join our growing biomedical innovation team. In this pivotal role, you will lead and contribute to the design, development, and deployment of machine learning
-
Swedish and English. A candidate who does not meet this requirement may still be hired, provided they actively work to acquire these language skills. Pursuant to Karlstad University’s Appointments Procedure
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace x Application deadline 2026-02
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Application deadline 2026-02-27
-
data types (transcriptomics, proteomics, imaging). AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional relationships from perturbation data. FAIR
-
dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You
-
duties are to do defect analysis and development of new techniques for sample preparation and imaging (for instance using luminescence and microscopy). Also, computer simulations can be performed. Examples
-
data types (transcriptomics, proteomics, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function
-
to see what websites you visit. You can continue with your default DNS resolver. However, a third-party might be able to see what websites you visit. Learn more… Open Site in New Window It looks like your
-
registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial