Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Swedish University of Agricultural Sciences
- Sveriges Lantbruksuniversitet
- Linköping University
- Uppsala universitet
- Chalmers tekniska högskola
- KTH Royal Institute of Technology
- Lunds universitet
- Malmö universitet
- SciLifeLab
- Umeå universitet
- Chalmers University of Technology
- Chalmers University of Techonology
- Fureho AB
- Institutionen för biomedicinsk vetenskap
- Linkopings universitet
- Nature Careers
- Stockholm University
- 8 more »
- « less
-
Field
-
. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
-
, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
-
12 Dec 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Electrical Engineering Research Field Computer science Engineering Information
-
social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
-
biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg
-
northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
-
of craniofacial biology - generation of 3D models with complex defined extracellular matrices. The candidate should submit a letter of intent, providing a narrative description of their scientific background
-
northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
-
series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is
-
transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition