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Field
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-based metadata platform that you will help develop. In collaboration with stakeholders from energy research, you will develop methods to increase data and software interoperability, enabling the automated
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process. Together, these innovations aim to make column generation more practical for solving real-world, large-scale optimization problems. These innovations will be tested within a structured software
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science communication. Proficiency with audio/video editing software. Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the
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Energy simulation software, such as TRNSYS, Modelica, EnergyPro Programming languages, such as Python Ability to communicate results in technical reports, and prepare scientific papers for publication in
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measurements in a team of experts on and in the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. Publication of research results and
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new nationwide AI system can be predicted using generated data sets of different sizes and measuring the environmental impact. This impact can be measured and calculated by our Software Energy Lab
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computing needs, and enabling rapid responses to potential issues in remote locations. The aim is to develop robust and scalable software solutions suitable for practical industrial deployment on a large
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knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas
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peer-reviewed publications Preferred Qualification Familiar with various chemical analyses and characterization instruments Experience in process modeling using Aspen or other software and TEA analysis
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modelling software. Practical experience in advanced manufacturing techniques for novel materials. Opportunities to present research at international conferences and build a professional network across