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Field
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Position Description The position The Algebraic Combinatorics and Fundamental Physics Unit, led by Matteo Parisi, investigates new combinatorial and geometric structures underlying quantum field
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and power (CHP), and application-specific energy storage systems. We are also exploring how quantum computing can unlock new optimization and control strategies in future power systems. Our projects
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, processing optimization, and experimental troubleshooting Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements Understanding structure-property
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multiple ship classes and shore power applications. The project seeks to deliver industry-relevant modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world
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expertise, preparing them optimally for future challenges.
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research in radiochemical separations and advanced aqueous recycling of used nuclear fuel (UNF). The successful candidate will contribute to the development and optimization of advanced aqueous recycling
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: Develop AI-assisted experimental workflows for oxide semiconductor deposition, aiming to accelerate process optimization and unravel new process–property relationships, and contributing to an EU Horizon
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candidate will contribute to cutting-edge research in optimal control theory, differential game theory, mean-field game theory, and mean-field-type game theory, developing advanced mathematical frameworks and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
; design and optimize synthetic strategies for complex peptides, peptide libraries, and small proteins; develop scalable production methods using solid-phase peptide synthesis and native chemical ligation
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innovative solutions for future communication networks and sensing-enabled services. Job description The successful candidate will contribute to research on energy-efficient network design, optimization, and