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challenges and business models. Qualifications: A PhD or Masters level education with recent experience in clinical and health informatics, preferably in the areas of ICT adoption, implementation, and
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Lecturer/Assistant/Associate or Full Professor - Academic Physiatrist, Spinal Cord Rehabilitation Pr
possible. We are seeking a dynamic and compassionate clinician who would like to grow with our program with a strong commitment to rehabilitation of individuals living with the secondary health conditions
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lives, increase profits and minimize resource usage. Considerable attention in the course is devoted to applications of computational and modeling algorithms to finance, risk management, marketing, health
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Sessional Lecturer Position Posting Date: October 6, 2025 Program: Executive Master of Health Informatics (eMHI) Sessional Dates of Appointment: Winter 2026, January to April Course Description
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computational and modeling software used in this course, we also briefly describe other programming environments such as R, Matlab and C/C++ used in financial engineering. Practical aspects of financial and risk
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This course prepares students to deliver health informatics initiatives that create measurable value in real clinical and public health settings. Students learn core and modern project management
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the follow: Adoption of ICTs in complex socio-technical environments. Human factors principles – Cognition, human performance and behaviour. Human factors and Human-Computer interaction (HCI) – Mental models
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. The program has created more than $51 billion in equity in less than twelve years targeting companies that have the potential to transform our social, industrial, and economic landscape. Its mission is to
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: www.pharmacy.utoronto.ca The Biomanufacturing Hub Network (BioHubNet) is an immersive talent development program aimed at producing industry-ready, highly qualified personnel (HQP) in the biomanufacturing sector through
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or