234 postdoc-distributed-algorithms uni jobs 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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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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of developing algorithms that are both technically robust and clinically relevant, ensuring that these innovations can be integrated seamlessly into existing imaging systems and workflows. Collaborating with
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applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront of developing algorithms that are both technically robust and
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months 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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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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to the Head of the Department: Coordinating Department Head’s calendar and schedule, calling for agenda items, preparing and distributing agendas and documentation for Departmental and committee
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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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administrative direction of the Operations Manager and the direct supervision of the Campus Mail Coordinators, drives a mail truck and/or other delivery vehicles to distribute internal and external mail/parcels
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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