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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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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
description: The Scientific Computing Center is the Information Technology Center of KIT. The Research Group Exascale Algorithm Engineering of SCC works at the interface of algorithmics, parallel computing, and
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. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way
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several projects in parallel Ability to work collaboratively in a team as well as independently on a wide variety of research projects Excellent communication skills Detail-oriented, focused, and highly
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needs, we may support flexible and hybrid work arrangements. Options will be discussed during the interview process? Responsibilities The division runs several research projects in parallel. The candidate
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for Regional Environmental Nitrogen Measurements (Onderzoeksprogramma Regionale Omgevingsmetingen Stikstof, OROS) is essential, as there are clear parallel questions. The project provides strong support for your
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, space, modal content, etc. However a systematic analysis of the potential and trade-offs of applying photonic parallelism to computing is still lacking. This PhD project aims to get an in-depth
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in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Appointments will be
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applicants only References "Lab website https://cellplasticity.weebly.com/ Recent work from the lab Plygawko, A.T., Adams, J., Richards, Z. and Campbell, K. (2025) A hormonally regulated gating mechanism
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redox balance. Our studies explore how p53 integrates metabolic cues by acting as both a sensor and regulator of cellular metabolism. In parallel, we are identifying metabolic changes that promote tumor