Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Lunds universitet
- 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
- Sveriges Lantbruksuniversitet
- 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
- University of Gothenburg
- Örebro University
- 23 more »
- « less
-
Field
-
be to optimize existing technology and adapt the process for the needs of the partners working on the innovative recovery of lithium and other valuable metals. Please observe: Since the department is
-
remanufactured. The established process is optimized considering the chemical process solutions during electrode washing. Finally, the process is evaluated regarding potential for scaling to larger battery formats
-
, system-wide efficient, as well as fair for heterogeneous participants. Addressing these challenges requires new mathematical models and algorithms that blend optimization, game theory, and control with
-
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
-
expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
-
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
-
primarily concern pharmacological modelling aimed at developing improved tools for optimizing clinical drug therapy (Model-Informed Precision Dosing), as well as tools supporting drug development. You are
-
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
-
of the position is to develop the independence as a researcher and to create the opportunity of further development. The research tasks include the optimization of cultivation processes and freeze-drying