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: 6796532 University of California Irvine Assistant Professor - Musicology Position overview Salary range: The salary range for this position is $89,900-$116,700. The posted UC salary scales set the minimum
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professors, 2 postdoc researchers, and about 20 PhD students. The research for these PhD positions will be conducted in the System Software team, headed by prof. Bjorn De Sutter (https://users.elis.ugent.be
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
message systems (3+ years). Experience with large software projects, including proficiency across the software development lifecycle (version control, documentation, and testing) is required. AA/EEO
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and future research studies. Designs and maintains data management and analysis solutions that enable efficient storage, investigation, and dissemination of large-scale biomedical data. Working
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an optimised way. This may include neural network and neural mass modelling of large-scale brain activity during and after stimulation, and experimental tACS in healthy participants. The successful applicant
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. In our international working environment there is a large amount of communication in English. For this position, a minimum proficiency is expected at language level C1. Additional Information Benefits
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goal areas: Scaling Impact of Integrated Innovations: supporting the scale-up of innovations that lead to whole-person, integrated delivery systems Accelerating End-to-End Access to Biomedical Innovation
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. Experience Equivalencies may include multiple years of non-Residential Life experience in higher education along with other significant, comparable professional residential experience, such as: large-scale
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Latvia and the wider Baltic region; Conduct global competitiveness analysis and identify key barriers to large-scale production and export of e-fuels from Latvia and the Baltic states; Evaluate the
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for these architectures remains a key challenge. This project will explore how reconfigurable/spatial computing devices can be integrated into large-scale heterogeneous infrastructures, which include CPUs, GPUs, DPUs, and