Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Chalmers tekniska högskola
- Lunds universitet
- KTH Royal Institute of Technology
- Lulea University of Technology
- University of Lund
- Linköping University
- Luleå University of Technology
- Nature Careers
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- 1 more »
- « less
-
Field
-
. This research is part of the Metapix Excellence Centre (2024-2029) aimed at realizing breakthroughs in integrated photonics. You will thus be part of a team of PhD students and postdocs in a constellation of
-
Excellence Centre (2024-2029) aimed at realizing breakthroughs in integrated photonics. You will thus be part of a team of PhD students and postdocs in a constellation of local theoretical and experimental
-
materials and food quality. Who we are looking for You must hold a PhD (awarded no more than three years before the application deadline*) in biotechnology, food biotechnology, bioprocessing, food science
-
validate decision-support tools for energy-aware planning, predictive maintenance, and resource optimization. -Develop and test multi-agent and distributed control systems using technologies such as IEC
-
methodologies for optimally allocating these services based on the characteristics, availability, and operating conditions of different energy resources The research will primarily focus on improving system
-
. The work will center on protein production in mammalian cells, glycosylation pathway engineering, and optimization of IgA production and purification. This project offers an exciting opportunity to develop
-
to maintain system stability during major disturbances (e.g., generator outages, transmission line failures, or system separations) Developing methodologies for optimally allocating these services based
-
beam time Dissemination and education activities directed to MAX IV users and the wide MX community. To be successful in this role you need to have the following qualifications PhD or equivalent in
-
characterization of algal food protein ingredients, ensuring high yield and quality. The latter will be optimized from several aspects, including e.g., in vitro nutrient digestibility and volatile compound profile
-
yield and quality. The latter will be optimized from several aspects, including e.g., in vitro nutrient digestibility and volatile compound profile. The work will be carried out in close collaboration