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Field
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. Work description You are expected to explore both software architecture and software design in the era of artificial intelligence, addressing both how AI can support engineering practices (AI4SE) and how
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benchmarking atomic qubit architectures. · Collaboration: Work closely with experimentalists to design and optimize protocols for qubit manipulation, gate operations, and system scalability. 2. Atomic
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mathematicians, and domain scientists Develop software that integrates machine learning and numerical techniques targeting heterogeneous architectures (GPUs and accelerators), including DOE leadership-class
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four different AC-voltages, independent of the distance covered https://arxiv.org/abs/2108.00879 . Theoretical consideration indicate good prospects for maintaining spin-coherence of the shuttled
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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applications for a postdoctoral position in the Department of Astronomy at Indiana University to work with Professor Songhu Wang on the demographics, architectures, and dynamics of planetary systems in both
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candidate will play a central role in engineering fibrillar composite architectures that mimic PTFE performance while introducing recyclability and regulatory compliance. Your Tasks: Develop and characterize
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Higgs and Standard Model measurements, and searches for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies
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is suitable for industrially scalable dry electrode processing. The successful candidate will play a central role in engineering fibrillar composite architectures that mimic PTFE performance while