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mining, epistemic network analysis and cluster analysis. Experience in managing and analyzing large datasets, and the use of generative AI tools for research purposes are relevant strengths. The appointee
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will have the opportunity to engage in pioneering research, collaborate with a large, dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and
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17 Nov 2025 Job Information Organisation/Company Universität Tübingen Department Institut für Angewandte Physik Research Field Physics » Crystal growth Physics » Surface physics Physics » Applied
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ExperienceNone Additional Information Eligibility criteria **Technical and Scientific Skills** PhD in analytical chemistry, biogeochemistry, environmental sciences, or a related discipline. Strong experience in
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | about 1 month ago
model analyses with reanalysis data to quantify the direct and causal effects of sea ice changes on large-scale circulation patterns and extreme events. Your Tasks Set-up and performance of large-ensemble
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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Barbara (UCSB) is seeking candidates for a postdoctoral position working on the CMS experiment at the Large Hadron Collider (located at CERN in Geneva, Switzerland). The successful candidate will play a
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for the position. Curriculum Vitae (CV). List of publications. Copies of PhD diploma and other relevant degrees. Contact information for two references. Applications should be written in Swedish or English and
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(Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic connections in
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datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU