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. These systems will serve as model platforms for studying high-entropy crystallisation, offering microscopic insight into how molecular-scale parameters control emergent order. Robotic deposition and high
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freshwater fishes, structured around the following objectives: Use the LOC to map the freshwater fish distributions in Madagascar, including threatened, invasive and human food species Create predictive models
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diversity. We work to identify the genes that regulate plant development, describe the evolutionary histories of these genes, and connect the molecular evolution of developmental genes to the evolution
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tasks for the position The candidate will pursue research on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer
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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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Application deadline: All year round Research theme: Multi-scale modelling How to apply:uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD project is fully funded for home students
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(or equivalent) in biological sciences. Strong research background in cell biology, molecular biology, mouse models of cancer, and/or biochemistry. Prior experience in stem cells, vascular biology, 3D organoid
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facilities, including advanced microscopy, controlled environment growth rooms, genomics, proteomics, and metabolomics platforms. • Opportunities to work across model and crop species, including Arabidopsis
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Department:Biochemistry and Molecular Biology Salary Salary:Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: TITLE: POSTDOCTORAL RESEARCHER (Wallrath and Drack
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of environmental modulation on gametic and early developmental epigenome and epitranscriptome. The project uses next- and third-generation sequencing technologies to generate the data. Zebrafish is a model organism