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and computational modelling in a dynamic and interdisciplinary setting. Your job Do you want to be part of the development of resilient crops that can continue to feed the world when faced with climate
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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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modelling of materials and machine learning. Experience in atomistic modelling (molecular dynamics, density functional theory) and machine learning is important, as well as a strong interest in pursuing
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Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic modelling of materials and machine learning. Experience in atomistic modelling (molecular
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, or dynamic models to predict gene regulatory interactions. Work with digital twin technology, simulating patient-specific disease progression and treatment responses. Collaborate in an interdisciplinary
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of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University external link . About us A better
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modelling and atomic scale molecular dynamics and quantum chemical modelling. In doing so, we cover both ends of the lengthscales that are relevant to perovskite solar cells: Effects that cannot be captured
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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