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consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based
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sunlight, air and water. Electrodes are a central component of the novel bioelectrochemical platforms for energy harvesting and microbial electrosynthesis. Optimal design of the 3D geometry and material
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-transportation system, we are looking for a: PhD Student in Data-Driven Policy Optimization for Transportation and Energy (100%) Project background Our energy and transportation systems are rapidly transforming in
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Associate. This postdoctoral researcher will work under the supervision of Prof. Bo Ji and Prof. Lingjia Liu, conducting research on immersive communication/computation-aware optimization of next-generation
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Incorporating social preferences into public health policy decision-making using evolutionary multi-objective optimization and multi-criteria decision modelling approaches
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job *About the Job For this project, we plan to develop our standardized protocol and other resources to advance
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Your Job: You will work in the Electrocatalytic Interface Engineering department, which is headed by Prof. Dr.-Ing. Simon Thiele. The department focuses on the fabrication, analysis and simulation
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on heterogeneous processor types Optimized GPU computing and exploitation of GPU architectures for HPEC (tensors, multi-GPU instantiations, advances in GPU for AI/ML) Compute-focused optimization of System-on-Chip
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, determining optimal ways for groups of buildings to share resources and benefits. You will investigate and quantify trade-offs between individual objectives and collective outcomes, focusing on scalability
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We are seeking a highly motivated and skilled Postdoctoral Researcher to join our interdisciplinary team in the Division of Translational Oncology headed by Prof. Julia Skokowa. Our laboratory is