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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering invites applications for a postdoctoral position in optimal motion planning and model predictive
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Integrated photonics is a vibrant research field dealing with the generation, processing, and detection of light at the chip scale. Inverse design, the computer-aided automatic design of photonic devices
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dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for an investor. Specifically, we aim to develop new methods for regime models, including
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, aiming to create automated and AI-assisted microscopy workflows for large-scale human cell imaging and modeling. You will be responsible for developing and optimizing wet-lab and imaging protocols
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for energy and industrial applications. You will work experimentally with catalyst development, reactor testing, and process optimization with ASPEN. The research includes operating high-temperature systems
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crucial role in controlling risk. The project aims to investigate how abrupt changes in dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for
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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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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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consists of 18 research groups covering a wide range of mathematical disciplines – from pure and applied mathematics to numerical analysis and optimization, as well as mathematical statistics and machine
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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