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Field
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dense atomic medium to study cooperative effects with application in quantum sensing. The role will focus on developing the experiment, take and analyze data. The successful candidate will join an
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cooperative perception setting. Semantic-Aware Compression & Network Information Theory: Derive new rate–distortion–reliability bounds, design adaptive codecs that prioritise safety-critical bits, and close
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23 Aug 2025 Job Information Organisation/Company Itä-Suomen yliopisto Department The Faculty of Health Sciences, A.I. Virtanen Institute Research Field Neurosciences Researcher Profile First Stage
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of data from an old system to new, reduce duplicate files that exist within data, institute file compression to archive older files. Manage a large data transfer between institutions. Explore use of RCC
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experimental data and iterating on experiments based on the results. Design and manufacture testing fixtures that enable reliable compression of samples. Weekly 1-on-1 meetings with Dr. Harrison to discuss the
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models for compressible hypersonic flows; implementing new models and numerical schemes into larger, existing hypersonic CFD codebases; performing verification & validation studies for the new models
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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to maintain and operate GCMS and LCMS systems Coordination of major repairs with vendors, and management of spare parts and inventories Maintaining GC/MS and LCMS data system computers and archiving of data
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) to evaluate thermal stability and decomposition behavior, porosimetry to assess density and pore distribution, Mechanical testing (e.g., flexural strength, interlaminar shear, compressive strength) and thermal
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models Analyzing and interpreting research data and disseminating the results Responsible for the quality and results of their own work May provide technical guidance and training to research staff