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for receipt of applications: April 14, 2026 23:59 AoE (15 April 2026, 13:59h Europe/Madrid Time) The Networks Data Science group at IMDEA Networks Institute has an opening for one PhD student in the area of
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team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In addition to their research work, candidates assist and
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 5 hours ago
at http://www.uthscsa.edu and http://www.visitsanantonio.com. UT Health San Antonio offers a competitive salary and a comprehensive benefits package. For more information, visit our website at http
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The core of this research lies in the “science of science”—using large-scale data from scientific articles, patents, and grants to characterize the dynamics of research and innovation. A central
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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to essentially any field of advanced science and technology which will prepare them for future careers in academia and industry. For further information about this PANIONS position, please visit: https
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(e.g., large databases, experiments, unstructured textual data) and econometric methods. Prior knowledge in these methods is an advantage but not a requirement prior to entering the PhD program. The
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, earth or energy. Learn more at www.hds-lee.de . Institute specific promise here. We are looking to recruit a PhD position – Co-regulation structures for large-scale single-cell transcriptomics – within
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field measurements and computationally intensive simulations, limiting their scalability and responsiveness for risk-informed decision-making across large offshore wind farms. This project will develop
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addition to carrying out bench research using electrophysiological recording, the successful candidate will be expected to help develop data management software for managing and analyzing large volumes