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Nature Careers | Winnipeg Fort Garry NE University of Manitoba, Manitoba | Canada | about 1 month ago
the division’s current strengths in diabetes and obesity research. The candidate should have expertise in using animals and cell systems to model diabetes, obesity and other metabolic diseases. Priority research
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research, risk prediction modeling, population and medical data linkage, geospatial data mining, multi-omics data integration, and artificial intelligence (AI) applications in health sciences, such as causal
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leadership within the division. Maintain a broad understanding of the technical, operational, and regulatory environments in which CLS operates. Model transparent, informed decision-making and support
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annual budget and staff, ensure efficient operation and disbursement of funds with the assistance of LKSIoV administrative staff. Develop and implement a business model for financial self-sustainability
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of the following projects: The molecular regulation of insulin secretion. In particular, the characterization of new (unpublished) transgenic models to study SENP1 (e.g. PMID: 38184650) The development of novel
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
. For those interested, there is also an option to learn and use in vivo cancer or diabetes models. Collaborative and Supportive Environment: You will collaborate closely with experienced scientists and
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Nature Careers | Winnipeg Fort Garry NE University of Manitoba, Manitoba | Canada | about 2 months ago
ultrastructural imaging, proteomics platforms, single cell transcriptomics, bioinformatics, humanized mouse models, among others. In addition, access includes University facilities such as the Accelerator Protein
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supercomputing, high performance computing, and extreme-scale systems. Applicants with expertise in computing systems for modelling and simulation, digital twins, and AI infrastructure are especially encouraged
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. The Department of Cellular and Physiological Sciences The Department (www.cellphys.ubc.ca ), located in the Life Sciences Institute, is internationally recognized for using diverse approaches and model systems
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sciences. Areas of interest include but are not limited to: AI-driven drug discovery and development, quantitative systems pharmacology, large language models for education and clinical support, machine