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initiatives. Oversee day‑to‑day laboratory operations, facilities, and a team of researchers, while driving cost efficiency and process improvements. Conduct hands‑on experimental work and support research
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model and biological membranes. The experimental data will be paired with results from molecular dynamics simulations to provide a complete characterization of the biophysical properties of the imaged
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plant resistance genes using effectoromics approaches in plant–microbe interactions. This position focuses primarily on experimental biology, including molecular, genetic, and cell biology approaches
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ability to formulate hypothesis and design effective experimental plans. Ability to design and implement new experimental methods. High-level expertise in the required experiment or modelling methods
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Spectroscopy (SERS) biosensor platform. Responsibilities include next-generation sequencing (NGS), qPCR-based molecular assays for microbial quantification and aptamer validation, and experimental support for
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an experimental system to probe these fluctuations in real time. We invite applications from postdoctoral candidates who are interested in this problem and who are equipped with the tools to address the challenges
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development of a novel generative AI framework for structural biology. This project sits at the intersection of X-ray scattering and deep learning, aimed at integrating experimental data to predict protein
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optimisation. The postholder will conduct end-to-end experimental studies using waste-derived feedstocks, integrating upstream processing, fermentation, and downstream recovery to enable circular bio
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optimisation. The postholder will conduct end-to-end experimental studies using waste-derived feedstocks, integrating upstream processing, fermentation, and downstream recovery to enable circular bio
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fields, particularly those with quantitative and experimental backgrounds in stem cell and developmental biology, or in statistical physics, biophysics, or in experimental method development including