Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Linköping University
- Umeå University
- Uppsala universitet
- SciLifeLab
- Lunds universitet
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- University of Lund
- Lulea University of Technology
- Mid Sweden University
- Luleå tekniska universitet
- Umeå universitet
- Jönköping University
- Karolinska Institutet, doctoral positions
- Nature Careers
- University of Borås
- Chalmers University of Technology
- Karlstad University
- Linköpings universitet
- Blekinge Institute of Technology
- Institutionen för molekylära vetenskaper
- KTH Royal Institute of Technology
- Luleå University of Technology
- Luleå university of technology
- Mittuniversitetet
- Mälardalen University
- 17 more »
- « less
-
Field
-
probabilistic forward model (a digital twin) that maps microstructure to electrochemical performance. This involves simulation-based inference and physics-informed machine learning techniques that can quantify
-
to effectively train AI models based on limited and imprecise information as well as unbalanced and heterogeneous multimodal data. This needs-driven method development finds direct application in healthcare
-
and breakup mechanisms Ice–ocean interaction and basal melting dynamics Integrated observational and modelling approaches to ice-shelf processes The doctoral student is expected to: Develop research
-
digitalization, digital technologies and media (e.g 3D modelling), and quantitative and qualitative scientific methods including those related to digital technology, media and advanced data analysis, will be
-
observational and modelling approaches to ice-shelf processes The doctoral student is expected to: Develop research questions within the thematic scope of Antarctic ice shelf interactions Analyse observational
-
to influence chemical reactions Chemical system simulation or thermodynamic/speciation modeling (e.g., HSC Chemistry, FactSage, or similar) Characterization of materials using techniques such as ICP-OES/ICP-MS
-
developing a data-driven framework linking DNA, 3D body shape, and motion in horses. The PhD student will work on three interconnected research directions: Multimodal modelling integrating language, visual and
-
://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models of polyploid genome evolution across contrasting timescales. The student
-
. You would be welcomed in the the Yant Lab (https://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models
-
relevant not only for the organizations developing, training, or optimizing AI models, but in particular for users of the software products that inform and impact the policies that will regulate the AI