Sort by
Refine Your Search
-
Employer
-
Field
-
for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
-
of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
-
migration backgrounds and between schools. You will answer questions such as: Do gender gaps in attitudes, behaviour and achievement vary according to student background and school composition and quality
-
months) Prepare different composites to be tested in waste stream fractionation protocol UG (3 months) modelling LCA of in-silico process Where to apply Website https://refibre-dn.eu/ Requirements Research
-
, playing a crucial role in breaking down organic matter and releasing greenhouse gases in the process. In collaboration with the NOBV team, you will investigate how peat composition and quality, microbial
-
to shape human activity and facilitate the preservation or even the desired expansion of the quality of life. This project aims at reusing components from existing steel and steel-concrete composite
-
the electrode composition, as well the morphology and interfacial properties, is critical. Embedded in a materials and catalysis group you will develop porous model systems to unravel the influence
-
. The resulting decline in extent and quality of tidal ecosystems has required active measures to restore these valuable areas. This project aims to gain fundamental understanding of the processes driving ecosystem
-
to mechanical properties through physics Impact: Enable hydrogen application in clean aviation Job description Fatigue life prediction generally utilizes prediction models calibrated with many fatigue tests
-
proficiency Nice to have: Prior experience with composites amnufacturing. Prior experience with mechanical testing. Experience in analytical or numerical modelling of fatigue and/or fracture TU Delft Delft