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Field
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the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers, software developers, and data scientists to ensure practical
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to engage in interdisciplinary collaboration and teaching. Good programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites
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programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites (e.g., GAMS, Pyomo, JuMP, or similar). Besides that, your ability and
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a strong background in one or more of the following areas: nonlinear (Lyapunov-based) analysis tools, software skills with Matlab or Python, and strong writing skills. Special Instructions
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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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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 of programming languages (e.g., Python, MATLAB) and familiarity with software tools for structural analysis (e.g., OpenSees, ANSYS, Midas Gen, SAP2000, ABAQUS). Excellent communication skills in
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skills. - Ability to work independently in outdoor field conditions and travel regionally as needed. Preferred Qualifications: - Experience in experimental design, QTL mapping, and statistical software
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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