Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Utrecht University
- Aarhus University
- Amsterdam UMC
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Published yesterday
- Forschungszentrum Jülich
- ICN2
- Institute of Physical Chemistry, Polish Academy of Sciences
- Karolinska Institutet (KI)
- Linköping University
- Luleå University of Technology
- Max Planck Institute for Astrophysics, Garching
- Max Planck Institute for Evolutionary Biology, Plön
- Medical College of Wisconsin
- Mälardalen University
- Mälardalens universitet
- Radboud University
- University of Minnesota
- Université Grenoble Alpes
- Weizmann Institute of Science
- 12 more »
- « less
-
Field
-
collaboration with leading industrial and academic partners within large-scale Horizon Europe initiatives, where LTU plays a key role in both technical development and scientific coordination. In parallel with
-
results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
-
platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
-
mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
-
for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different