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biology, molecular biology and animal models to investigate how these hybrid cells favour carcinogenesis. Where to apply Website https://app.smartsheet.au/b/form/019eedeef91978fdbc2b67718479eac6?project_id
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related analyses. Below are the potential research topics to be conducted by the researcher: Modeling of energy systems adopting hydrogen and ammonia, and their supply chains Proposal and evaluation
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muscle cells remains largely unknown. Using human vascular cell models, the student will investigate whether loss of endothelial PKD1 alters smooth muscle cell behaviour, including changes in cell
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. This includes large-scale computational mechanics of energy structures, data-driven mechanics, reduced-order modeling, structural optimization, life-cycle analysis, multiphysics modeling of energy materials, and
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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chemistry, theory and modelling, fundamental materials physics, and device development, with applications in energy, printed electronics, photonics, and bioelectronics. A strong common theme is materials
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responses using molecular biology, immunology, cell culture techniques and animal models. Job Description: Key Roles and Responsibilities: Perform research with undergraduate/graduate trainees and research
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, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate will conduct experiments at the Queen Mary
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animal models for hematopoiesis Experience in high-throughput data analysis, such as single cell RNA sequencing Knowledge in R and foundations of statistics Experience with CRISPR/Cas9 (or similar) genome
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of Molecular & Human Genetics, Baylor College of Medicine. The laboratory uses cell culture, Drosophila and mouse genetics to identify and characterize genetic modifiers of human developmental disorders, in