285 postdoc-distributed-algorithms positions at University of British Columbia in Canada
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Conferences, Accommodations and Ceremonies, Level A Job Title Distributed Events and Resource Coordinator Department Program
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of the project with periodic travel to Vietnam. The postdoc will contribute to research outputs, stakeholder engagement, and project coordination in close collaboration with the project PI and international
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Science Specialist will: 1) review empirical data and algorithms applied to the price, end-use, fishing effort and layer 3 databases and develop code that imputes missing data to complete gaps in
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Data Research Network Canada (HDRN Canada), a research-enabling, distributed network that supports multi-regional, person-focused research. The work of HDRN Canada is supported by a seven-year, $39M
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 9 days ago
(Introduction to Software Engineering), CPSC_V 314 (Computer Graphics), CPSC_V 317 (Introduction to Computer Networking), CPSC_V 319 (Software Engineering Project), CPSC_V 320 (Intermediate Algorithm Design and
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for new staff, Postdocs and Research Associates by scheduling interviews, preparing interview packages for the selection panel, coordinating in-basket testing and scheduling reference checks. -Creates
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developing machine learning algorithms specifically designed for medical imaging applications. In addition, performs analysis of tissue images of cancer using machine learning methods that have been prototyped
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responses and data analysis of the survey results. Consequence of Error/Judgement The work of this position will be monitored by Dr. Qian Chen and Dr. Muhammad Fawad (Postdoc Fellow) in this project. Errors
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AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical