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Field
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning
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. Molecular and cell biology skills on mammalian cells or mouse models. The incumbent must have demonstrated experience in skin or epithelial biology, developmental biology, extracellular matrix biology, signal
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leveraging AI, quantum chemistry, and molecular dynamics simulations. The candidate will work in close collaboration with experimental groups providing validation/testing of novel mixed conducting materials
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cost of MD simulations by several orders of magnitude. Notable examples of our work in this area include Boltzmann Generators [1 ,2 ], Surrogate-model Assisted Molecular Dynamics [3 ], and Implicit
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, and the synthesis of complex molecular architectures, while actively contributing to the host research group's scientific activities. Student supervision and mentoring: Co-supervise bachelor’s, master’s
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simulations to identify key mechanistic drivers of viral persistence and immune response, and use SciML to automatically select ODE/PDE models that include these mechanisms. The postdoc will develop
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, synthetic methodology, and the synthesis of complex molecular architectures, while actively contributing to the host research group's scientific activities. Student supervision and mentoring: Co-supervise
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on unraveling the molecular mechanisms behind selective autophagy and plant abiotic stress responses. This project centers on initiation, purification, and comprehension of stress-induced specific autophagosome
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the integrated university hospital. Here, interdisciplinary cancer research, advanced imaging, and molecular analysis are brought together in a collaborative and dynamic setting. You will join a strong
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holder will be responsible for the day-to-day running of this programme of work as part of Dr Chiari’s research team within the Cells, Organisms and Molecular Genetics (COMGen) group (https