Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Ghent University
- University of Groningen
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- Utrecht University
- ;
- University of Antwerp
- University of Southern Denmark
- ; Brunel University London
- ; Swansea University
- ; University of Nottingham
- ; University of Warwick
- CNRS
- Chalmers University of Technology
- Cranfield University
- Curtin University
- DAAD
- European Magnetism Association EMA
- ICN2
- IRTA
- KNAW
- KU LEUVEN
- Leibniz
- Nord University
- Roskilde University
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Tallinn University of Technology
- Technical University of Denmark
- Technical University of Munich
- University of Bristol
- University of Göttingen •
- University of Münster •
- University of Nottingham
- University of Twente
- University of Tübingen
- 26 more »
- « less
-
Field
-
on the composition of the committee and - later on - their assessment. Once the recruitment process is completed, all applicants will be informed of the outcome of their application. Application To apply
-
dioxide (SO2) are commonly measured. Each pollutant is produced and destroyed by different processes, and the levels of the various pollutants are correlated with each other, for example, and increase in
-
Description: Broadleafification, i.e. the process of increasing the share of broadleaf tree species within conifer-dominated forests, is a promising strategy for biodiversity conservation in managed (hemi
-
catalytic metals. These clusters will be deposited with high control over size and composition using cluster beam deposition on morphologically engineered TiO2 nanotubes. The most efficient catalysts will be
-
://www.slu.se/en/about-slu/work-at-slu/ Benefit of Broadleaves on Bats, Birds and Beetles Research subject Biology Description: Broadleafification, i.e. the process of increasing the share of broadleaf tree
-
fail to reach those most in need. To develop equitable and effective policy tools, further research is needed on the contexts, compositions, and mechanisms of retrofits, as well as a deeper understanding
-
-metallic clusters that combine plasmonic and catalytic metals These clusters will be deposited with high control over size and composition using cluster beam deposition on morphologically engineered TiO2
-
the potential to accelerate materials design and optimization. By leveraging large datasets and complex algorithms, ML models can uncover intricate relationships between composition, processing parameters, and
-
on the contexts, compositions, and mechanisms of retrofits, as well as a deeper understanding of the barriers preventing vulnerable communities from taking action. This PhD project proposes “grassroots retrofitting
-
– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1