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often fail to preserve the fidelity of combined datasets, leading to loss of crucial information. This proposal aligns directly with the CAMS Data Analytics Theme and the Grand Challenge of using machine
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, ambitious, dynamic, and well-resourced working environment. Our unit and our department have state-of-the-art facilities for flow cytometry, next generation sequencing, single-cell transcriptomics, mass
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cellular techniques, such as bulk and single-cell RNA sequencing, spatial transcriptomics, immunohistochemistry, immunoprecipitation, RNA-pull down, ChIP-seq, or CRISPR/Cas9-based gene editing etc. The exact
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for various instructional formats, ensuring alignment with course and learning objectives, and pedagogical standards. • Provide expertise in instructional design models to create materials that meet diverse
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: Experience with experimental animal models Understanding of interactions between diet, intestinal microbiology and host health Knowledge of sequence-based analysis of bacterial communities Capable of working
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peptides, including the design of de novo sequences based on the elucidated mechanism. The first step will be to develop a computational approach to determine the critical peptide properties required
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palynology and organic biomarker and biogenic calcite geochemistry at several sediment sequences. You will collaborate with fellow PhD candidates or postdocs carrying out climate model experiments
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aligned subjects The Project start dates: October 2025 – Home students only January 2026 – Home and International students Supervisors: Aligned programme of study: PhD in Chemical Engineering Mode of study
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allocation, start-up/shutdown sequences, and operational planning of PtX systems in response to dynamic market and process conditions. System Integration and Digital Twin Development: Combine experimental
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lizard tail regeneration sheds light on their neglected importance, with potential applications in scar-free wound healing research. Overall, this research has broad-reaching implications in multiple