-
of linkers, fluorophores, chelators and other functional groups. ● Purification and analytical characterization using HPLC, LC-MS and related approaches. ● Systematic structure-function studies
-
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
-
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 11 hours 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
-
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
-
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
-
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
-
Performed: • Design, plan, and conduct independent research projects. • Perform and optimize molecular, cellular, and immunological experiments. • Analyze, interpret, and present experimental data. • Prepare
-
optimize molecular, cellular, and immunological experiments. • Analyze, interpret, and present experimental data. • Prepare manuscripts, figures, presentations, and assist with grant applications. • Develop
-
computational workflows and data visualization strategies to support biological discovery. · Collaborate closely with laboratory scientists to integrate computational analyses with experimental research
-
. · Analyze, integrate, and interpret genomic, transcriptomic, proteomic, imaging, and other high-dimensional biological datasets. · Develop reproducible computational workflows and data visualization