Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Linköping University
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Lunds universitet
- SciLifeLab
- University of Lund
- Uppsala universitet
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Lulea University of Technology
- Luleå University of Technology
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Umeå University
- Umeå universitet stipendiemodul
- 7 more »
- « less
-
Field
-
Histological techniques, such as in situ hybridization and immunohistochemistry Confocal microscopy High-throughput screening approaches Development or optimization of molecular and experimental methods
-
implemented globally. The research includes optimization of the electrochemical processes for mercury removal as well as safe and efficient retrieval of the removed mercury and regeneration of electrodes
-
interest in working in a cross-disciplinary environment: Micro- and nanofabrication specialist – expertise in clean-room processing, lithography, etching, microfluidic integration, and planar waveguide
-
for industrial application. You will develop materials and processes enabling this technique to be scaled up and implemented globally. The research includes optimization of the electrochemical processes
-
difference in the areas of materials and manufacturing, we look forward to receiving your application. About the research project The position is focused on development of robust AM and post-AM processing
-
working in a cross-disciplinary environment: Micro- and nanofabrication specialist – expertise in clean-room processing, lithography, etching, microfluidic integration, and planar waveguide fabrication
-
to the development of several innovative doping methods. More broadly, the research aims to understand and control how molecular interactions, ions, and charge transfer processes determine the electronic properties
-
real computational problems that cannot be efficiently solved on a conventional computer. Such computationally hard problems are found, e.g., in optimization, quantum chemistry, materials science
-
, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
-
to be employed for the degradation and mineralization of per- and polyfluoroalkyl substances (PFAS) in water streams. At KTH, the focus is on the design, fabrication, and optimization of cavitation