Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Linköping University
- University of Lund
- Lunds universitet
- Uppsala universitet
- KTH Royal Institute of Technology
- SciLifeLab
- Karolinska Institutet (KI)
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Luleå University of Technology
- Umeå University
- University of Borås
- University of Gothenburg
- Göteborgs Universitet
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- KTH
- Kungliga Tekniska högskolan
- Linnaeus University
- Linneuniversitetet
- Luleå tekniska universitet
- Mid Sweden University
- Mälardalen University
- Nature Careers
- Stockholms universitet
- Umeå universitet stipendiemodul
- 18 more »
- « less
-
Field
-
competence in image analysis and data processing. What you will do Develop and optimize experimental workflows, including sample preparation under different environmental conditions. Design and conduct
-
important examples such as Schrödinger Cat states, which are superpositions of coherent states with different phases. This project focuses on the optimal preparation of Schrödinger Cat states in a propagating
-
, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
-
of waste heat, energy efficiency measures, digitalized control and optimization strategies, issues related to security of supply, and how sector‑coupled solutions can enhance flexibility and reduce the
-
experience in development of user interfaces, code debugging and optimization is also meritorious. It is considered a merit to have previous experience within EU-funded collaborative international projects
-
(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
-
manufacturing of advanced battery-active materials for sustainable energy storage. The research targets the development and optimization of synthesis routes, surface and interface engineering, and understanding
-
, the establishment and optimization of behavioral assays under controlled oxygen conditions, image‑based analyses, and quantitative data processing and interpretation. The role also includes active participation in
-
: Simulation, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Design and implementantion of automatic calibration techniques
-
. Detailed description of the work duties, such as: Research and optimization of acoustic cell sorting. Designing and building of new acoustic cell separation modalities. Research within single cell proteomics