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interpret multi-omics, imaging, and functional analyses, including RNA sequencing and single-cell transcriptomic datasets. • Prepare manuscripts, research reports, grant applications, and present research
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-of-the-art machine learning/deep learning models for RNA sequence design, structure prediction, and property optimization. Process, curate, and model high-throughput screening and genomics datasets
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, prototypes, and trial systems. Identify delivery risks and recommend adjustments to scope, sequencing, resources, or partner responsibilities. Guide researchers and engineers without necessarily holding formal
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& Bioinformatics Develop, implement and optimise computational pipelines for analysing large-scale whole genome, whole exome and multi-omic sequencing datasets. Analyse somatic mutations across multiple mutational
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(equipment, chemicals, gases, and consumables) in alignment with research priorities. Establish and maintain laboratory-level management systems (e.g., inventory tracking, equipment coordination, SOP
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machine learning/data science, with hands-on Python and experience with modern ML frameworks. Experience with one or more of time-series/sequence modelling, state estimation, constrained or Bayesian
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learning, dynamical systems, sequence generative models and world modelling. Emphasis will be on methods that design and implement new architectures for latent dynamic modelling to enable identification
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genetic manipulations to study sensory processing and motor sequence generation. Analyse experimental data, maintain reproducible research records and interpret findings in relation to neural circuit
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deliver an industry innovation research project as part of a research team developing molecular and sequencing workflows for microbial characterization. The work supports the rapid detection of microbial
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retention — contributes to neurodegenerative vulnerability. Key Responsibilities Conceive, design, and execute high-impact research initiatives aligned with programme strategy. Establish, optimise, and