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, Dental Materials, Dental Technology or a related discipline, with research experience in Non-linear Finite Element Analysis, CAD for dental prostheses, AI algorithm development using python / PyTorch, and
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, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date Aug 31, 2027 The expected salary for this position is $60,000 CAD per annum, plus benefits. The expected term
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The expected salary for this position is $60,000 CAD per annum, plus benefits. The expected term for this position is 2-years. The candidate would be expected to apply to local postdoctoral awards (e.g., Michael
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) Posting End Date August 14, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date Aug 31, 2027 The expected salary for this position is $60,000 CAD per annum, plus
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codes, finite element or finite different methods, peridynamics, phase field models, multi-objective optimisation methods, CAD. Demonstrated ability to adapt to fast-changing project direction and learn
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collaboratively in a multidisciplinary team Additional Experience (Preferred but Not Required): Experience in electrochemistry or micro/nanofabrication Prototyping skills, including CAD design, 3D printing
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vehicle space. Experience with CAD tools would be an asset. Generate various aero-propulsive and thermo-mechanical databases along the full trajectory to assess the behaviour and survivability of the test
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Pacific Institute for the Mathematical Sciences | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 days ago
the potential for extended collaborative research visits to the three other participating universities. The minimum total stipend is $55,000 (CAD) per year plus benefits for duties including research, work travel
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needs. Tasks may involve CAD design, machining, and integration of sensors and control systems. Collaboration and Mentorship 5% Work collaboratively with faculty, graduate students, and other postdoctoral
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disease (CAD). You will apply expertise in data science, machine learning, as well as multi-omics integration to predict and validate functional regulatory networks in vascular cell types. This work will