61 structural-engineering "https:" "https:" "https:" "UCL" Fellowship positions in Canada
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: Postdoctoral Position Location: Varennes, Quebec J3X 1P7, Canada [map ] Subject Area: Condensed Matter Physics / Condensed Matter Physics, Electronic Structure, Strongly Correlated Materials Appl Deadline: none
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of virtual care services and usage of digital health technologies for patient care. The research seeks to evaluate how technology-enabled health services can improve access to healthcare. With access
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on Science, Technology and Innovation between France and Canada in 2023. The call for applications is open to the following themes: Emerging Technologies: AI, quantum, etc. Health: One health, public health
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(online application process, required documents, guidelines on eligibility, evaluation criteria, the timeline and the stages of the selection process) are available on our website at: http
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Department: Mechanical, Industrial and Mechatronics Engineering Position supervisor: Dr. Farrokh Janabi-Sharifi Contract length: 1 year Hours of work per week: 36.25 Position type: Postdoctoral
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
/2025 Close Date Open Until Filled Yes Quick Link for Direct Access to Posting https://dal.peopleadmin.ca/postings/18126
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Nature Careers | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 2 months ago
-Guided Materials Development for Tomographic Volumetric Additive Manufacturing (TVAM) The Prediction of Structure-borne Sound in Sustainable Low Carbon Building Constructions ALMA Archival Research
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the development of excellent doctoral and postdoctoral training programmes and collaborative research projects worldwide. By doing so, they achieve a structuring impact on higher education institutions, research
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applicants who receive their PhD less than one year prior to their start date. Fellows from a diversity of disciplines — from groups who have traditionally been underrepresented in science, technology
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initiative that will advance our understanding of how genetic factors influence cardiac structure and function, and yield AI models that link phenotypic findings with genetic data to predict CVD risk and