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Metrics and Evaluation (IHME), Department of Health Metrics Sciences Position Details Position Description The Institute for Health Metrics and Evaluation (IHME) at the University of Washington is currently
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models for treatment discovery and patient-specific decision support. Gain experience in translational research across clinical, academic, and technology domains. Participate in lab initiatives aligned
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top journals such as Journal of Hematology & Oncology (2024), Cancer Research (2024), Cell (2023), Cell Stem Cell (2023 ×2), and Nature Cell Biology (2022). The Su research program is currently
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immunological concepts, and have a demonstrated record of publications. Experience with mouse models and proficiency in flow cytometry are preferred but not required. Successful candidates will work closely with
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
(https://www.ofi.ca/programs/transform-climate-action) is currently underway. This project aims to develop a framework and models for a Digital Twin for Ocean Industries, for optimal deployment to support
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energetic applicant with excellent communication skills and organization. The laboratory uses immunological methods, molecular biology, cellular biochemistry, redox biology, murine models, imaging, and flow
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risk assessment metrics Investigate and assess current methodologies and approaches for vulnerability assessment Collaborate in the execution of the larger research efforts on analysing UHI
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for, and mitigating weather and hydrological extremes, as well as to develop effective decarbonization strategies. The possible role of AI ranges from predictive models of solar insolation and wind variables
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(or shortly expect to complete) in a relevant discipline (e.g. public health, statistics, sociology, nursing, psychology, sociology, anthropology, education) - Experience conducting multivariable modeling