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-channel measurement systems, transmitted via high-speed links to a server for algorithm-based processing. The candidate will contribute to the design of efficient server-side data processing and participate
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with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
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(https://www.ise.fraunhofer.de/en/research-projects/pvev.html ), we are working to optimize models for PV self-consumption estimation and, on that basis, to develop an algorithm for PV feed-in upscaling
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academic research lab environment -Software programming for scientific simulations -Interdisciplinary and multi-physics relevant strong background -Design of computational algorithms for 1st /2nd order time
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following themes: Traffic modelling and multimodal transport simulation Travel behaviour and choice modelling Network optimization and algorithmic methods Machine learning and data-driven approaches
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. Who are you? We are seeking a talented and motivated candidate to implement Artificial Intelligence/Machine Learning (AI/ML) algorithms for modeling and improving the observation of hydrological
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of the 2026 academic year. In the AI era, this course is more important than ever. We need our students to learn the basic skills to survive in the forest of fake news, dummy websites, abusive algorithms and
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algorithms that allow robots to refine their control strategies based on observed human behaviour. Collaboration: The project will benefit from extending existing collaborations between the University
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, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by
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. For more information about the department, please visit https://cs.utexas.edu . Austin, the capital of Texas, is a center for high-technology industries, including companies such as Amazon, AMD, Apple