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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
and work alongside technicians in a team-based environment. The following qualifications, skills and knowledge, are required: A PhD (completed within the last five years, with provision for career gaps
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to improving the care, treatment, and well-being of patients. The Department offers academic degrees at the bachelor’s (Bachelor of Medical Laboratory Science (BMLSc)) and graduate (MSc, PhD) levels with
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support critical project objectives, including: 1. Developing modelling approaches to understand how perennial features in agricultural landscapes might impact both ecosystem services and biodiversity; 2
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, bioinformatics, or artificial intelligence to join the Uterine Health Research Lab. This position offers a unique opportunity to develop and deploy AI-powered analytics infrastructure across gynecologic cancer
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, visiting trainees, and research assistants, including technical training and day-to-day guidance within research projects. Minimum Qualifications PhD (or equivalent) in neuroscience, immunology, stem cell
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of junior trainees (e.g. undergraduate, and graduate students involved with aspects of the project) Required Qualifications · PhD in molecular biology, translational research, genomics, bioinformatics
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graduate students involved with aspects of the project) Required Qualifications · PhD in molecular biology, translational research, genomics, bioinformatics, proteomics, cancer biology, reproductive
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, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making
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Skills and Attributes ● A PhD in Earth Science or a related quantitative field (must be awarded before appointment) ● No more than 5 years of previous postdoctoral experience ● Ability
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to these requirements will be regularly reviewed by the employer. QUALIFICATIONS Successful applicants will have: Completed PhD within 5 years in a relevant discipline (epidemiology, biostatistics, statistics