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this position. Attach a full CV. Job Summary The Cartilage Healing and Regeneration (CHaRM) lab at Michigan addresses one of the prevalent causes of OA development, unrepaired traumatic articular cartilage injury
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of healthcare, that will serve as a model to other health systems. Researchers in the Business School are leading on the policy and implementation components of this work, and the successful applicant
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The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Position Details Position Information Position Title Postdoctoral Fellow Posting Number PTAP2901P Department/Unit Planning Location Halifax, Nova Scotia, Canada Job Summary & Key Responsibilities Dr
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substantial deliverables. Ideal candidates will also have expertise in renewable energy, energy in buildings, the impact of occupants on energy use and data acquisition and analysis. Energy modelling expertise
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equivalent qualifications/experience High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute
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. The PDF will be responsible for conceiving, designing, and implementing studies to further elucidate mechanisms of disease through the use of in vitro and in vivo models. The position is highly
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of healthcare, that will serve as a model to other health systems. Researchers in the Business School are leading on the policy and implementation components of this work, and the successful applicant
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applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc.. Participation in these projects will include