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requiring initiative and judgment by applying knowledge and understanding of federal and state-level civil procedure to make informed decisions about data categorization. Aggregate and review court filings
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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We are looking for a postdoc to join our team at the Division of Signal Processing and Biomedical engineering, Department of Electrical Engineering. Become part of our innovative team and contribute
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column. This parallel study will allow to integrate short-term, ecological observations on the climate-driven Rhizarian response, as well as related oceanographic processes, including productivity and
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27 Jan 2026 Job Information Organisation/Company University of Siegen Department Embedded Systems Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
fluorescence-activated cell sorting and high-throughput genomic library generation. This will require generating massively parallel reporter assay (MPRA), perturb-seq, RNA-seq, and DNA-seq libraries; generating
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vocal processes depend on auditory-guided motor learning during a sensitive period of development, and exhibit many parallels at the behavioural, neural, and genetic levels. Their acquisition and
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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of performance targets such as efficiency, bandwidth, and multi-condition operation. To design and fabricate reconfigurable metasurface prototypes that implement a global tuning mechanism, and to experimentally
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification