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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
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density-functional-theory (DFT) accurate large scale atomistic simulations of defects including dislocations, grain boundaries and precipitates, as well as phase diagrams exploration. A key challenge faced
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thesis on a topic relevant to this project. Proven experience in molecular dynamics simulations of proteins or protein-ligand complexes is an advantage.You possess:- A successfully completed MSc degree in
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medicine. As a PhD student, you will: Build computational models that integrate molecular and genetic data to study possible OA treatments. Develop bioinformatics pipelines, network-based approaches
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) to simulate the dynamics of discrete cells and Newtonian and non-Newtonian fluid-structure interaction models to assess how the intracochlear fluid (perilymph) influences RWM deformation. We will also develop
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experience with in vivo studies (artikel 9, proefdierkunde), flow cytometry, single cell technology (working in R), microscopical techniques and molecular biology is an advantage With proficiency in English
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in the Molecular Biosensing group (MBx, see www.tue.nl/mbx ) are unique in the world. The sensors are based on reversible single-molecule interactions, for the continuous monitoring of biomolecules
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learning techniques and advanced numerical simulation modelling to quantitatively study the electrical characteristics of state-of-the-art perovskite solar cells. The efficiency and stability of perovskite
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thesis on a topic relevant to this project. Proven experience in molecular dynamics simulations of proteins or protein-ligand complexes is an advantage. You possess: A successfully completed MSc degree in
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relevant to this project. Proven experience in molecular dynamics simulations of proteins or protein-ligand complexes is an advantage. You possess: A successfully completed MSc degree in computer science