Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Umeå University
- University of Lund
- Linköping University
- Mälardalen University
- SciLifeLab
- Blekinge Institute of Technology
- Karolinska Institutet (KI)
- Lulea University of Technology
- Luleå University of Technology
- Lunds universitet
- Uppsala universitet
- Institutionen för biologi och miljövetenskap
- Jönköping University
- Luleå tekniska universitet
- Swedish University of Agricultural Sciences
- University of Borås
- University of Skövde
- 9 more »
- « less
-
Field
-
could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where
-
), analyse their structure from the ensemble to single molecule level, and apply our findings to design new nanoparticles to study, diagnose and treat a range of diseases. We place particular focus on using
-
skills in experimental design, laboratory and field research on animals, statistical modelling and programming, evidence synthesis, climate modelling, open and reproducible research, scientific writing
-
or complex systems models of mobility under disruption. Contributing to the design of dynamic synthetic populations and behaviourally plausible mobility agents. Modelling how individuals, groups and networks
-
that couples wall chemistry, wall stiffness, and turgor pressure, then use that model to design targeted experiments that separate what the receptor detects: the chemical products of wall remodelling
-
validation, the research will identify the structural and chemical features that govern their performance. Building on these insights, computational methods will be used to explore and design new composite
-
on the candidate’s background and interests. The work may include: Design and fabrication of bioelectronic devices (e.g., flexible or stent-based systems) Development and characterization of in situ polymerized
-
as a critical design metric. Key research objectives include: Mixed-precision algorithms: Designing and implementing mixed-precision formulations for key domain-specific kernels to leverage low
-
The Faculty of Engineering and Health Sciences provides education and conducts research in engineering, health and information design, with a clear focus on addressing societal challenges. Our
-
project focuses on the design, modeling, control, and management of microgrids for AI data centers. The project is funded by the Swedish Energy Agency in close collaboration with Arjeplog Municipality