Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Ghent University
- ;
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- Utrecht University
- Chalmers University of Technology
- University of Antwerp
- University of Copenhagen
- University of Groningen
- University of Southern Denmark
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Swansea University
- ; University of Bristol
- ; University of Nottingham
- ; University of Warwick
- Cranfield University
- Curtin University
- DAAD
- European Magnetism Association EMA
- ICN2
- KNAW
- KU LEUVEN
- Leibniz
- Nord University
- Swedish University of Agricultural Sciences
- Technical University of Denmark
- Technical University of Munich
- University of Göttingen •
- University of Münster •
- University of Nottingham
- University of Twente
- University of Tübingen
- 23 more »
- « less
-
Field
-
behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
-
. Objectives: -Fabrication, characterization and modeling of the composite magnetic materials. -Modeling, fabrication, characterization and of the embedded power magnetic core inductors. -Implementation
-
are linked to research on composite hydrogen tanks, composite propellers for drones and finite element modelling of textile manufacturing. All research will be conducted with leading companies in
-
skills include: Interest or background in composite materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a
-
. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess the structural performance of composite sleeves under operational conditions
-
well as their cleanroom fabrication by silicon micromachining will be investigated. The main challenges are (1) the design and modelling of new sensor topologies, (2) development of the MEMS fabrication processes, (3
-
or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics
-
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
-
-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