Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Lunds universitet
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Chalmers tekniska högskola
- University of Lund
- Uppsala universitet
- Linköping University
- Karolinska Institutet (KI)
- SciLifeLab
- Lulea University of Technology
- Luleå University of Technology
- Chalmers tekniska högskola AB
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Umeå University
- Umeå universitet
- Chalmers
- Chalmers Tekniska Högskola AB
- Chalmers University of Techonology
- Fureho AB
- Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg
- Karlstads universitet
- Karolinska Institutet
- Kungliga Tekniska högskolan
- Linkopings universitet
- Luleå University of Tehnology
- Luleå tekniska universitet
- Lund University
- Malmö universitet
- RISE, Research Institutes of Sweden AB
- Sveriges Lantbruksuniversitet
- University of Gothenburg
- Örebro University
- 23 more »
- « less
-
Field
-
cutting-edge systems design, AI at the edge, optimization, and shaping future mobile networks, this is your chance to dive in. A strong focus will lie on the development of optimization algorithms
-
and detection, coding theory, and optimization. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or
-
inverse design, optimization, and/or machine learning for designing and optimizing devices in integrated photonics, which will be subsequently fabricated and tested by our experimental partners in Metapix
-
the Department of Energy Sciences. At the division, we conduct research in various fields, including research in design and optimization of turbomachinery, reactive fluid dynamics, multi-phase and turbulent flows
-
can take one of two directions depending on the expertise of the selected candidate: novel algorithm design, with advanced control, optimization and deep reinforcement learning; hardware-oriented
-
, aiming to create automated and AI-assisted microscopy workflows for large-scale human cell imaging and modeling. You will be responsible for developing and optimizing wet-lab and imaging protocols
-
. Thus, this project will advance our empirical understanding and thereby create an urgently needed decision support for developing optimized strategies for boreal peatland forest management. The main
-
albuminuria levels. Risk-based clinical decision support: Developing tools and frameworks to guide decisions using individualized risk prediction metrics to optimize patient care. Identifying and addressing
-
optimizing electrolyte systems (including hybrid solvents, functional additives, and water-in-salt electrolytes), and investigating the electrochemical performances of designed aqueous batteries. The main
-
with experimental biologists, clinicians, and data scientists. Design, test, and optimize data visualization tools for spatial and single-cell data. Contribute to manuscript preparation, conference