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Department of Mathematics and Statistics
Position Summary:
Conduct Experiments: Finite Element Analysis; Computational Modeling of Human Heart, and Circulatory System; Analyzing Biomedical Images especially cardiac MRI; Abaqus including creation, meshing, validation and debugging; Machine Learning that may involve Python programming, data collection, and the use of advanced technologies.
Literature Review: Stay abreast of current literature and research developments in the field. Summarize and integrate relevant information to contribute to the overall research strategy.
Collaboration: Work closely with other team members, including researchers, scientists, and students. Foster a collaborative and positive team environment.
Documentation and Writing Research Papers: Maintain accurate and detailed records of experiments, methodologies, and results. Prepare reports and scientific papers to submit to international conferences.
Qualifications:
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills.
Ability to work independently and collaboratively in a team-oriented environment.
Adaptability and a proactive approach to learning new skills and techniques related to Statistical Machine Learning.
PhD degree in Mechanical Engineering, Structural Mechanics, Computer Engineering, Computer Science, or Statistics.
Proven experience in a research setting, with a track record of successful publication.
Knowledge of French and English: McGill University is an English-language university where day to day duties may require English communication both verbally and in writing. The level of English required for this position has been assessed at a level 4 (qualifier) on a scale of 0-4.
Hourly Salary:
$40.94
Hours per Week:
6 (Part time)
Location:
Burnside Hall
Supervisor:
Professor
Position Start Date:
2024-03-07
Position End Date:
2024-07-06
Deadline to Apply:
2024-03-13
This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement.
McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [email protected] .
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