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culture and in vitro models of mucosal immunity Data analysis using Python and digital image processing These skills are highly transferable to careers in biomedical research, pharmaceutical development
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Microfluidics and lateral flow assay engineering Translational diagnostics and AMR-focused assay development Digital image analysis and Python-based data processing The project includes opportunities
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Student Development The successful applicant will gain expertise in: Biophysical imaging (AFM, microscopy) Microbiology and molecular biology RNA sequencing and data analysis Interdisciplinary collaboration
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Methods Soft lithography and microfabrication to create defined surface landscapes. • Mating assays between resistant and sensitive Enterobacteriaceae strains. • Live-cell imaging and fluorescent plasmid
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, and processing conditions influence their behaviour, creating a vast and complex landscape that traditional experimentation cannot navigate efficiently. This project addresses this challenge by bringing
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at scale. Training and Student Development: The student will gain interdisciplinary training in: Advanced molecular cloning, CRISPR-Cas systems, and genome engineering Bioreactor operation and process
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cultivation and molecular cloning Quantitative data analysis and process optimisation Synthetic and molecular biology techniques Research design, interdisciplinary collaboration, and scientific communication
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platforms, and regulatory guidance Evaluate long-term performance and potential for clinical translation Impact and Outlook: This project addresses a critical unmet need in orthopaedic surgery by developing
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. Atomistic Simulation of electronically excited processes in molecules and materials is essential for our understanding of the working principles of emerging energy conversion technologies, e.g. solar cells