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3 Fully Funded PhD Students positions!📍 Remote Sensing Laboratory, McMaster University, Hamilton, Ontario, Canada🗓 Start Date: Spring or Fall 2026The Remote Sensing Laboratory at McMaster
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Engineering or related disciplines•High competency in data analysis, numerical modelling, and programming•Strong written and oral communication skills•Relevant background in experimental geotechnics is desired
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University of Montreal-CHU Sainte Justine Children's Hospital Research Center | Canada | about 1 month ago
Project OverviewSpeech and language disorders affect millions of children worldwide, limiting communication and quality of life. This PhD project will explore the use of Reinforcement Learning (RL
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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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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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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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-approved systems. Ensure adherence to data security and compliance protocols. Preferred Qualifications MSc or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field. Strong
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/Objective: Working under the supervision of Dr. Tracie Barnett (fund holder) and Dr. Paula Bush, the Research Assistant will participate in research activities associated with the projects of the Data
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interviews with the PI. Qualifications: Has or is working towards a PhD in a related field. Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and
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practices. Qualifications: A PhD in the Social Sciences or the Humanities. Strong research and writing skills, demonstrated in the publication of multiple peer reviewed journal articles. Deep familiarity with