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2 Apr 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Computer science » Informatics Computer science » Programming Language sciences » Linguistics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Experience * Proficiency in analyzing functional magnetic resonance imaging data. * Demonstrated skill in manuscript preparation, managing large datasets, multivariate analytical approaches, and/or
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English Proficiency in machine learning and large omics data analysis is preferred. Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMB0326/MD/DIIA Requirements Research FieldComputer science
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biomedical research. Required qualifications PhD in bioinformatics, computational biology, systems biology, or a related field documented experience in omics data analysis, including bulk and single-cell RNA
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information of up to two references (will be contacted during the hiring process) Sample of best works of the candidate (e.g. publications or PhD thesis). Additional comments Application deadline is May 31
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development of transferable learned representations from large-scale public omics data and metadata, and the software infrastructure needed to build, maintain, and distribute them at community scale, including
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. Weinstein (DTU Chemistry) to develop novel molecular ML methods and use them to control, steer, and learn from large scale wetlab experiments. You will deploy these methods in collaboration with Prof. Katrine
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 2 days ago
input, fieldwork oversight, and analysis of large-scale cross-national survey data; Oversee key aspects of implementing an international teacher survey, including coordination with external survey firms
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research assistants, PhD students, and project students). About the department The Department of Experimental Psychology is a large, internationally recognised department with a high volume of academic
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unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography to analyze creative productivity, originality, and