Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Linköping University
- Lunds universitet
- University of Lund
- Uppsala universitet
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- SciLifeLab
- Lulea University of Technology
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- IFM, Linköping University
- Umeå University
- University of Borås
- University of Gothenburg
- Göteborgs Universitet
- Högskolan Väst
- 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
-
and predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance
-
, or quantum-inspired methods Experience with hybrid quantum–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience
-
synthesis. Our state-of-the-art analytical instruments help us to quickly screen and optimize electrochemical reactions. In your role, you will join the electrochemistry subgroup of the Giovannitti group
-
departments at the Faculty of Medicine. Clinical Sciences Lund cooperates closely with Skåne University Hospital and the Faculty of Medicine in order to optimize the conditions for preclinical and clinical
-
, focusing on joint optimization of radio, cloud, and network resources to enable resilient, energy-efficient 6G connectivity. Together, these positions provide unique opportunities to advance both theory and
-
the recruiting manager for the specific position you are interested in. Contact information can be found in the advertisement for each position. Doctoral student in Optimal control of a superconducting bosonic
-
Faculty of Medicine in order to optimize the conditions for preclinical and clinical translational research, research strategies and development, as well as education on both undergraduate and postgraduate
-
integration of the proteomics data into biology. The position also involves surveying, implementing and optimizing new technological approaches, experimental protocols and software related to proteomics and MS
-
development, maintenance, and optimization of the advanced spectromicroscopy systems at the MAXPEEM beamline. Provide high-level experimental support and technical guidance to international visiting researchers
-
. Doctoral student in Optimal control of a superconducting bosonic processor Doctoral student in photochemical reactivity under confinement Doctoral student in nanomaterial synthesis for breath sensors