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[map ] Subject Area: Mathematics Appl Deadline: 2025/09/30 11:59PM (posted 2025/07/16, listed until 2026/01/16) Position Description: Apply Position Description The Department of Mathematics
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scales and different phases which leads to nonlinear time and history dependent material behavior. Additionally, innovative changes are happening in the steel production process, especially in the drive
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scales and different phases which leads to nonlinear time and history dependent material behavior. Additionally, innovative changes are happening in the steel production process, especially in the drive
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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a functional. A key challenge lies in determining the regularity of solutions relative to parameters. For practical applications, choosing numerical methods with optimal convergence rates should align
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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on electric machine drives and power converters. Our work spans from fundamental modelling and analysis to advanced control design and system optimization. Our specialty is developing embedded control
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
to inform policy decisions that balance economic performance with environmental conservation. Project overview The primary objective is to develop realistic multi-species fish models that determine optimal
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Start Date: October 1 2025 Introduction: This PhD project in Aero-Thermo-Structural Simulation and Optimization of Mechanical Interfaces in Hypersonic Vehicles will be carried out under the UK
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. The project will optimize fishing practices to reduce ecological impacts, providing actionable insights to inform policy decisions that balance economic performance with environmental conservation. Project