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research in design and optimization of turbomachinery, reactive fluid dynamics, multi-phase and turbulent flows, innovative technologies for biomass conversion, neural network systems, and artificial
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graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher
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that govern ship design and operation—to applied research supporting designers, regulations, and operational models. The division plays a central role in the Naval Architecture and Ocean Engineering education
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analysis Ship resistance and motions Propulsion systems and energy efficiency Activities range from basic science—advancing understanding of the physics that govern ship design and operation—to applied
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the design and optimization of various types of turbomachinery. The design and optimization process involve developing models for the components of both axial and radial turbomachines. A strong background in
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measurement and control platform for optimal island operation of Chalmers’ wind-battery system. Machine learning-based forecasting tools for renewable production using limited local measurement data
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at both nanoscale and macro-scale. Interaction with industrial partners that produce lignin-based adhesive to optimize the function in construction materials will also be needed. Qualifications To be
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Do you dream of organic and holistic ways of automating the design, motion optimization and control of legged robots? With this postdoc position, you have the opportunity to be a part of the ongoing
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methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely
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properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and