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Title : PhD Position (4 years) in Computer Science / Engineering: Development of a Smart Sensor for Real-Time Monitoring of Dairy Calves Context : Calf health is a major concern for the Quebec, Canada
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 17 hours ago
Research Council of Canada. We are seeking applications for a PhD student position to begin in the fall of 2026. Candidates should have a background in physiology/exercise physiology or a related discipline
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, Computer vision, animal sciences). Opportunities to collaborate with international researchers and industry partners. Competitive funding for the duration of the PhD, and access to the resources needed
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Programme? Not funded by a EU programme Reference Number EU-58790 Is the Job related to staff position within a Research Infrastructure? No Offer Description We have funded MASc/PhD positions available in
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: Data cleaning Data analysis Coding in Stata and Matlab Computational analysis Assistance in document preparation Qualifications: Current McGill PhD Student in Economics Preferably student with one
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at the Cardiopulmonary Exercise Physiology (CPEP) Laboratory through The University of British Columbia (UBC) Rehabilitation Sciences Graduate Program. We are seeking applicants with: A thesis-based master’s degree in a
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criteria in order to be given further consideration as candidates: Education A PhD degree in one of the following fields: Mechanical engineering Electrical engineering Environmental engineering Civil
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PhD Thesis position in Composite Magnetic Materials and Embedded Magnetic Core power Inductors for Integrated Voltage Regulators in High-Performance ComputingContract: Full Time/Fixed Term for three
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of electrical engineering, Universite de Moncton (Moncton campus) Email: [mohamed.lamine.faycal.bellaredj@umoncton.ca] Context & Motivation: Because of their extreme computational needs where workloads demand
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the supervision of Dr. Robert Froese. This PhD student will address the DIVERSE project theme focused on the assessment and mapping of functional diversity and redundancy at the national scale, using remote sensing