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-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation
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cell lines and primary cells. Technical support in fluorescent microscopy acquisition. Managing Image processing and analysis of live imaging microscopy acquisitions. Basic requirements of the position
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team, analysing and interpreting spatial transcriptomic data. You will work on the Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and
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their team. The work will be jointly supervised by Professor Helen Byrne (Mathematical Institute, MI), Professor Simon Leedham (NDM), Dr Joshua Moore (MI) and Dr Eoghan Mulholland (NDM). Colorectal Cancer
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-based simulation and empirical analysis projects, develop and run virtual experiments, analyze existing social media data, document results, write papers with Dr. Carley and possibly relevant PhD students
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contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in silico work, including sequence design, data analysis, experimental planning, and
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language models for bacterial genome analysis. Train and evaluate models on large-scale bacterial genomic datasets. Apply the developed models to address specific research questions, such as gene function
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the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL) to work in the areas of life cycle energy impacts analysis, technoeconomic analysis
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plasticity metrics derived from functional MRI data. Investigate developmental differences in brain functional networks Support generation and testing of improvements for code bases for the analysis
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Research Foundation) to work on the project “Sleep and biological rhythms in family and social life: a network and family-based analysis in urban and rural areas of the Amazon region” which is part of