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within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and
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groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic
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, computer science, electrical engineering, mechanical engineering,or applied physics.•A research oriented attitude with affinity for advanced formal mathematics (analysis/ geometry), applieddifferential geometry and
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We focus on liver cancer and related disorders that predispose to liver cancer, with the overarching goal of understanding disease mechanisms and developing innovative therapeutic strategies. As
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not rely purely on common research metrics. The successful applicant will have: PhD degree in Mechanical Engineering, Energy Engineering, Applied Physics, Electrical Engineering, or a related field
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the reliability failure mechanisms of digital CIM architectures. Developing solutions to address the reliability issues. The PostDoc position is part of the CONVOLVE, a multi-partner European project involving
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CIM accelerator Develop efficient mapping schemes of AI workloads Identifying the reliability failure mechanisms of digital CIM architectures. Developing solutions to address the reliability issues
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congestion, and enhancing sustainability. Your research will investigate the governance models adopted for energy hub platforms. These include, for example, decision-making processes, coordination mechanisms
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-mechanical side. Based on ongoing studies within the Section, you will detail the overall test bed architecture based upon engineering and high-fidelity tools. Existing tools within the Section will be used
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the bottom up and study these in biomimetic solid-state nanopores. The approach can be expected to uncover the vital mechanism of selective IDP-mediated transport and thus answer one of the central questions