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Responsibilities Design and implement digital twins to monitor and optimize urban systems, including infrastructure, mobility, and energy management. Integrate real-time data from sensors and IoT devices to develop
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engineering, materials science, spectroscopy or fluorescent systems. Candidates with prior experience in the design, development and engineering of luminescent sensors and pressure sensitive paints are strongly
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The Role Applications are invited for a Postdoctoral Research Associate in Computer Science with a particular emphasis on structural and algorithmic graph theory. The purpose of the role is to
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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, and treatment in the financial sector, including taxation and insurance, are changing as professionals work more with algorithms. The two advertised positions are part of a sub-project on Algorithmic
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structures in collaboration with local partners; · Leading baseline (Before) and follow-up (After) monitoring campaigns using: o Wave and sediment sensors, o LIDAR and acoustic mapping, o
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particle (SEP) events. The project is a joint collaboration of Algorithmics and Computational Intelligence research group at the Department of Computing and Space Research Laboratory at the Department
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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computational approaches to uncover novel biomarkers and therapeutic strategies for CNS disorders. Key Responsibilities: Develop and implement algorithms for multimodal image fusion, combining data from MRI, PET
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capabilities such as incorporating new sensors and redesigning the hardware and software prototype. This position is a temporary position that will last 30 weeks from the start date. The University of Minnesota