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will develop high-performance quantum software technologies, with a focus on quantum compilers, scheduling and orchestration on parallel computing systems, including in distributed quantum computing
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challenges. Preferred qualifications PhD degree in natural sciences, computer science, applied mathematics, or related field. Practical experience with optimizing software for HPC systems at scale, including
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for the protection of software systems, as evidenced by, for example, several top-tier publications as primary author. Written and spoken English proficiency as this will be required in day-to-day work. Collaborative
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19 Sep 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Economics » Other Technology » Energy technology Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 26 Sep 2025 - 21:59 (UTC) Type of...
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a new multi-year project aimed at better understanding the underlying causes and developing medical treatment strategies for Welander Distal Myopathy, a PhD position is announced in the field
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and sustainable society. Polymeric solid-state batteries, where energy storage and solid structure are combined, is an emerging research topic. This PhD project involves experimental studies of polymer
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, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) . Project: AI Planetary Futures: Climate and environment in Silicon Valley's AI paradigm This project analyzes the climate and
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for future sustainable and resilient energy systems. At the same time, microgrids are complex cyber-physical systems with tightly coupled power electronics, communication infrastructure, and software-based
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development, via efficient software implementations on high-performance classical platforms, to translating these methods into quantum circuit formulations that can be executed on real quantum hardware
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description Third-cycle subject: Applied and computational mathematics The Department of Mathematics at KTH is announcing a PhD position in Mathematics with a specialization in AI, focusing on Bayesian inverse