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pipelines for data processing, integration, and analysis, incorporating sequence analysis, structural modeling, and AI-based predictive tools. Collaborate with computational biologists and software engineers
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applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis, or industry-related
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molecular biology approaches, live cell imaging and the generation and analysis of multi-omics data sets. The successful candidate will be responsible for accurate and efficient data generation, data
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, mass spec, etc.). Basic skills in communication, word processing, database searching, data entry, and data analysis (e.g., ChemDraw, Reaxys, SciFinder, Microsoft Office 365 including Word, Excel, and
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apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners to translate findings into practical screening
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transform visual information, and how neuromodulatory state changes, including exposure to drugs of abuse, alter visual processing and visual behavior. We combine large-scale electrophysiology with controlled
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molecular biology approaches, live cell imaging and the generation and analysis of multi-omics data sets. The successful candidate will be responsible for accurate and efficient data generation, data
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track record of collecting data on animalbehaviour. Experience of statistical analysis. Evidence of publication record commensurate with stage of career. The ability to work closely with animals and
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genetic analysis Strong background in plant-microbe interactions, effector biology Affinity with plant phenotyping Strong communication skills, proven ability to lead experiments, analyze data, and publish
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in computational analysis of omic data-ability to perform statistics, data integration and bioinformatics Candidates who are nearing completion of their PhD may apply, but confirmation on awarded PhD