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languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in
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/or Typhoon HIL and conduct real time simulation studies/experimentation. Design and develop an intelligent and optimal energy management system (EMS) controller for the optimal operation and
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and develop an optimal (efficient, cost effective, easy to use) technological operational method for detecting and estimating wallaby populations and dynamics. What you’ll do: Develop a technological
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Fellowship period at the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization methods for a grid island powered by renewable energy, supporting
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essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into ¿human in the loop¿ workflows. This post is available for two years. Keywords: Geometric Deep
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. The design and integration of CHIPLETS is a complex multi-physics task that requires substantial design space exploration and co-design and co-optimization accounting for the electrical, thermal and mechanical
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essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is available for two years. Keywords: Geometric Deep
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optimization of a personalized cooling system by simulating various geometries, materials, and thermoelectric module configurations using COMSOL. • Develop and execute parametric studies to evaluate system
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solid particle transport. The successful candidate will contribute to the creation of an AI-optimized platform capable of achieving up to 50× speedups in simulation performance, enabling real-time, energy
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framework for identifying optimal study designs. At La Trobe, The Research Fellow will be a member of the Infectious Disease Modelling Group in the Department of Mathematical and Physical Sciences (School