25 big-data-machine-learning-phd Postdoctoral positions at University of British Columbia
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Summary This position will provide technical support to data management plan development, data management, and assist Post-Doctoral Fellows with the development of machine learning methods. Organizational
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to the role (including OpenSpecimen database and Genemapper software) and capable of quickly learning and utilizing additional computer programs as needed
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this will include: Demonstrated expertise in data analysis and simulation Familiarity with C++; and proficiency in the use of ROOT and Geant4, and interest in machine learning techniques Knowledge
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 15 days ago
-to-optical devices. Disseminate research in journal papers and at conferences. Fostering learning Provide scientific advice and mentoring to students. Attend relevant conferences and workshops to collect
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the salary. Applicants are requested to submit a cover letter outlining their research interests and expertise, an up-to-date CV (including a list of publications), and contact information for three references
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expertise, an up-to-date CV (including a list of publications), and contact information for three references to Chihya Hung (Chihya.Hung@ubc.ca ). Review of applications will begin upon receipt and will
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contact information for three references to Chihya Hung (Chihya.Hung@ubc.ca ). Review of applications will begin upon receipt and will continue until the position is filled. Start date is negotiable but
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at the University. This is a part-time 10% FTE. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all
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allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology
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, other racialized persons, persons with disabilities, and those who identify as women and/or 2SLGBTQ+. Qualifications PhD in Chemical or Industrial Engineering, or relevant equivalent experience Strong