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analytical tools. Molecular dynamics of semiconductor-oxide interface. Numerical simulations of the oxide condensation process based on force-field data. The topic will require numerical simulations and
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discoveries on the electrosolvation force. The project will use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories
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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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of Excellence for Leukemia Studies with access to cutting-edge technology and resources. The successful candidate will ideally have a PhD (or will obtain a PhD) with a focus on molecular biology, cancer
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, methods, and algorithms into existing high-performance frameworks, the fast prototyping of new ideas in individual code, an interest in the entire simulation pipeline: starting from simple algorithms
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use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories on the electrosolvation force under development in
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Research Fellow to join a new interdisciplinary group studying cancer evolution, metastasis, and therapy resistance using molecular recorders – tools that enable cells to log aspects of their own biology
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-transmission electron microscopy. -Develop bioinformatics workflows for processing and analyze large data sets. -Perform key laboratory techniques such as PCR, molecular cloning, SDS-PAGE, and other basic
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Background. The tumor microenvironment (TME) is a highly heterogeneous and dynamic ecosystem that significantly influences cancer progression, metastasis, and therapeutic response. Traditional bulk
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Summary Our research is focused on understanding the molecular mechanisms of diabetic retinopathy, especially, the role of mitochondrial homeostasis, and of epigenetic modifications in maintaining