Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Uppsala universitet
- KTH Royal Institute of Technology
- Chalmers tekniska högskola
- IFM, Linköping University
- Karolinska Institutet (KI)
- Linköping University
- Umeå universitet stipendiemodul
- University of Lund
- Örebro University
- Karlstads universitet
- Karolinska Institutet
- SciLifeLab
- Umeå University
- 5 more »
- « less
-
Field
-
with provable performance for nonlinear systems. About us The Department of Mathematical Science provides a creative, dynamic and innovative environment where research, education, and societal
-
mathematics to work with Axel Ringh on a project funded by the Swedish Research Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and
-
, spectroscopy, and biomedical validation in clinically relevant environments. Key work assignments include: Design, fabrication, and optimization of high-performance plasmonic nanostructures and SERS substrates
-
in clinically relevant environments. Key work assignments include: Design, fabrication, and optimization of high-performance plasmonic nanostructures and SERS substrates for sensing in complex
-
to a motivated candidate with experience in linker chemistry and graphene functionalization, and interest in working with infection diagnostics. With us, you will experience a dynamic and supportive work
-
addition to energy-related research, we also develop chemistry for biomaterials and drugs for medical treatments. Come and work with us! The position will be at the Division of Electricity, at the Department
-
groundbreaking research. The project is devoted to learning-based control for high-dimensional data. Application to individually optimized immunotherapy for cancer will also be considered. The grant covers two
-
to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
-
), numerical optimization, and inverse problems. Strong emphasis will be placed on personal qualities such as the ability to work in a team and to communicate effectively, as well as a strong analytical ability
-
-group strategies, stereochemical control, and structural optimization, thereby offering both challenge and creative freedom. Downstream, the monomers will be incorporated into PNA/γPNA oligomers