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Field
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are looking for a highly motivated and skilled PhD researcher to work on structural surrogates of offshore wind foundations through graph-based machine learning. Our goal is to perform full-structure
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(stochastic) optimization and decision-making under uncertainty. You also bring the following qualifications: A completed MSc degree in a relevant field, such as Operations Research, Operations Management
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) and the Laboratory of Renewable Resource Engineering (LORRE) at Purdue University are seeking a postdoctoral researcher to work on funded research projects focused on biofuel & biochemical synthesis
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trajectory, and performance evaluation in traffic simulation. Tasks: Independent and cooperative qualification through scientific research within the project; training in the technical tasks of the individual
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collaborate with PhD and postdoctoral researchers whose work focuses on optimal electricity market participation and grid stability /synthetic inertia from BESS, respectively. You are expected to take a
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differential game will be constructed to find the optimal reinsurance policy by considering the interaction between the insurer and the reinsurer. More chapters will be considered if the first two chapters run
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the DEIS Research Group. Our group is internationally recognized for its work on verification and modelling of distributed systems. We are active contributors to AAU quantum hub, the recently established
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modeling, optimization, and/or data analytics. Description of the PhD topic (subproject C1 - New metrics for transportation system appraisal): Transportation systems must deliver “function” (i.e
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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intelligent systems aim to optimize power usage without compromising performance, employing strategies like power-aware computing and thermal-aware optimization. These systems are crucial in extending