Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Groningen
- University of Oslo
- Utrecht University
- CNRS
- Ghent University
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- University of Antwerp
- University of Southern Denmark
- University of Twente
- ; Brunel University London
- ; Swansea University
- ; University of Nottingham
- ; University of Warwick
- Brno University of Technology, Central European Institute of Technology
- COFAC
- Chalmers University of Technology
- Cranfield University
- Curtin University
- DAAD
- European Magnetism Association EMA
- ICN2
- IRTA
- KNAW
- KU LEUVEN
- Leibniz
- National Centre for Nuclear Research
- Nord University
- Roskilde University
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Tallinn University of Technology
- Technical University of Munich
- UNIVERSIDADE DE ÉVORA
- University of Bristol
- University of Göttingen •
- University of Münster •
- University of Nottingham
- University of Twente (UT)
- University of Twente (UT); Enschede
- University of Tübingen
- Wetsus - European centre of excellence for sustainable water technology
- 32 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
-
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
-
main research topic for this position is to investigate the thermal break-up of pure polymers and composites using a combination of experimental techniques and chemical modelling. For a position as a
-
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
-
of methane dynamics in rapidly changing ecosystems and contribute to improving predictive models of future methane emissions. Field sampling will focus on regions where methane cycling is still poorly
-
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
-
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
-
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