Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- SciLifeLab
- University of Lund
- Lulea University of Technology
- Linköping University
- Umeå University
- Uppsala universitet
- Chalmers tekniska högskola
- Nature Careers
- Luleå University of Technology
- Lund University
- Stockholms universitet
- University of Gothenburg
- Blekinge Institute of Technology
- Chalmers
- Chalmers University of Techonology
- Fureho AB
- KTH
- Karlstad University
- Karolinska Institutet (KI)
- Mid Sweden University
- Mälardalen University
- Swedish University of Agricultural Sciences
- Umeå universitet
- Umeå universitet stipendiemodul
- 17 more »
- « less
-
Field
-
, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
-
on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal, we have a variety of projects related to: Development and optimization of nano
-
that enable energy-intensive industries to plan and optimize their production based on energy demand, power consumption, and sustainability. The current PhD position focuses on analyzing how digitalization and
-
on close collaboration between the university and industry and aims to optimize processes, reduce error margins and increase productivity in the industrial companies involved in the project. Virtual models
-
Subject description Mathematics in a broad sense, which also includes mathematical statistics, numerical analysis and optimization theory. Duties As an associate professor within the framework
-
on designing and synthesizing advanced materials for next-generation batteries—such as solid-state, multivalent-ion, or aqueous rechargeable systems—while collaborating with the research team to optimize
-
into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze
-
empirically validate how GenAI agents can assist software developers in tasks such as code generation, documentation, optimization, and human-AI interaction workflows. As a postdoctoral researcher, you will be
-
into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze
-
information is lost through this depreciated sampling frequency remains unknown. DETERMINER aims to determine the optimal sampling frequency for detecting externally driven phytoplanktonic change while also