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Optimal Transport for Optimization and Machine Learning School of Engineering Sciences at KTH Project description Third-cycle subject: Applied and computational mathematics The project focuses on applying
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for overseeing and continuously improving the college’s information architecture, web content, search engine optimization (SEO), accessibility, and content management system support for both public websites and
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autonomous electric vehicles under disruptions. This collaborative project aims to develop a resilient, multimodal transport management strategy that leverages automation and communication to optimize
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methods from metric analysis, the theory of currents, fractal geometry, and the Calculus of Variations. Where to apply Website https://lavoraconnoi.unitn.it/en/post-doc-assignments/department-mathematics-ca
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methods from metric analysis, the theory of currents, fractal geometry, and the Calculus of Variations. Where to apply Website https://lavoraconnoi.unitn.it/en/research-assignments/department-mathematics-ca
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methods from metric analysis, the theory of currents, fractal geometry, and the Calculus of Variations. Where to apply Website https://lavoraconnoi.unitn.it/en/research-assignments/department-mathematics-ca
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methods from metric analysis, the theory of currents, fractal geometry, and the Calculus of Variations. Where to apply Website https://lavoraconnoi.unitn.it/en/research-assignments/department-mathematics-ca
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lead a team focused on: • Hybrid quantum-classical algorithms and innovative computational paradigms • Quantum neuromorphic computing (QNC) and reservoir computing • Algorithm optimization for NISQ
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31 Jan 2026 Job Information Organisation/Company Università degli Studi dell'Insubria Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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chemical biology and biotechnology, enabling the preparation of defined oligonucleotides for a wide range of research applications. This project focuses on the experimental development and optimization