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genome science, including the development of new algorithms and statistical methods to analyse genome sequencing data. Moving forward, the labs are jointly building an interdisciplinary research team
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High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time-series modeling, and clustering algorithms
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This project project will develop strategies for programmable DNA origami tiling and opto-mechanical metasurfaces that combine self-assembly with precise optical functionality. The work will explore how DNA
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systems, with a focus on 3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation
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implements machine and deep learning programs. Develops algorithms to deconvolve RNA-seq data and compare them to AI-based methods. Performs follow up validation efforts on cell lines. Minimum Qualifications
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, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for complex sociotechnical systems Strategic learning and equilibrium-seeking algorithms in transportation
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incumbent will conduct research within the predetermined research scope and methodology, and conduct research in the fields of quantum-engineered power grids and AI-enabled smart grids. ● Develop
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distribution in electron tomograms? Examples of work that you may conduct during your postdoc: Algorithm development and implementation (e.g. in C++). Machine learning development for image recognition
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digital twins using prediction-powered inference to enhance reliability assessment; The theoretical analysis and algorithmic development of methods rooted in statistical learning theory, multiple hypothesis
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Requisition Id 15472 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development and implementation of novel tensor network algorithms and their combination