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quantitative analysis and modelling that integrates and handles various interdependent data such as technology characteristics, cost distributions and components, material choices, sizing of components and
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, Computer Science, Software, Natural Language Processing, or a closely related area. Candidates with strong backgrounds in NLP are preferred. Stipend 2:Safety alignment in NLP models. Using Cybersecurity expertise
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related field, with research interests in one or more of the following areas: Advanced technologies in energy generation, distribution and demand—always with a focus on both technology and business
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, focusing on cho-reographic programming, distributed computing (cloud, edge, IoT, microservices), Dev(Sec)Ops, information security, formal methods (concurrency theory, theorem proving, type systems, etc