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of linkers, fluorophores, chelators and other functional groups. ● Purification and analytical characterization using HPLC, LC-MS and related approaches. ● Systematic structure-function studies
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integrating genomic and -omic data, echocardiographic imaging, and clinical information. This position will support the Multi-Omics and Sonography to Advance Integrated Cardiac Care MOSAIC Study, a newly funded
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 hour ago
Position Details Position Information Position Title Postdoctoral Fellow - Black 2SLGBTQI+Health Posting Number PTAP3540P Department/Unit Nursing Location Halifax, Nova Scotia, Canada Job Summary
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role in building data pipelines that bring disparate biological and clinical data types into SOZO's platform, developing analytical tools on SOZO's AI Workbench, and building an AI chat interface
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new challenges and assignments. Education: The successful candidate will have completed a PhD in a relevant discipline such as hydrology, water resources, civil or agricultural engineering
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an interactive visual dashboards and exploratory data analysis tools that enable hypothesis generation and pattern interpretation across multi-omics and clinical data. Design and develop an AI-powered analytics
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Performed: • Design, plan, and conduct independent research projects. • Perform and optimize molecular, cellular, and immunological experiments. • Analyze, interpret, and present experimental data. • Prepare
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optimize molecular, cellular, and immunological experiments. • Analyze, interpret, and present experimental data. • Prepare manuscripts, figures, presentations, and assist with grant applications. • Develop
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computational workflows and data visualization strategies to support biological discovery. · Collaborate closely with laboratory scientists to integrate computational analyses with experimental research
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. · Analyze, integrate, and interpret genomic, transcriptomic, proteomic, imaging, and other high-dimensional biological datasets. · Develop reproducible computational workflows and data visualization