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Field
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initiation, focusing on complex cell¿cell communication dynamics (e.g., Nature 2024 PMID 39112713) The successful candidate will work closely alongside a postdoctoral research associate, Dr Iannish Sadien
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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, the associate will support mixed methods data collection and analysis (surveys, interviews, and community-based systems dynamics modeling), coordinate community engagement activities, manage relationships with
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applicants who have experience in conducting highly controlled laboratory and greenhouse plant experiments, collection of various forms of phenotypic and molecular data, statistical analysis of complex
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of our daily lives, yet its full potential in medicine has not been achieved. Medical data—ranging from images and genetic information to electronic health records—is often complex and varied, creating
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. ● Experience with human subject research. ● Facility with statistical analyses such as structural equation modeling, multilevel modeling, and longitudinal analysis ● Demonstrated ability to successfully manage a
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with medically refractory epilepsy and brain tumour biopsy. This software enables clinicians to use complex multi-modal imaging to inform surgical decisions. Based on the early success of EpiNav™ to help
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take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
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A postdoctoral position is available for highly motivated individuals with a background in Computational Neuroscience to analyze complex time-series data from ongoing 2-photon microscopy experiments