12 postdoc-position-in-image-coding-"Multiple" PhD positions at UCL in United Kingdom
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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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techniques. The findings will lay the groundwork for clinical application and contribute to the development of targeted therapies for resistant bacterial infections. Approach and Methods Atomic force
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from multiple disciplinary angles, with access to state-of-the-art equipment and a strong culture of innovation and mentorship. Desirable Prior Experience: Background in biochemical engineering
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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
conditions and characterise the dynamic range and sensitivity of the nanopore sensors Develop multiplexing strategies for simultaneous detection of multiple antibiotic classes Perform proof-of-principle
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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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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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development opportunities, including: Bi-annual career mentorship with a G-Research Quantitative Researcher A place on G-Research’s Spring into Quant Finance programme (Year 2) Invitations to present and attend
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Abstract: Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a leading contributor to global antimicrobial resistance (AMR). Non-tuberculous mycobacteria (NTM) also pose serious
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labs The project offers access to GPU-enabled HPC clusters, high-end workstations, and a collaborative, interdisciplinary environment. The student will develop a versatile skill set applicable to careers
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within a highly collaborative setting, benefiting from access to the UCL Automation Network and cutting-edge facilities for structural and biophysical analysis. The project is well-positioned to deliver