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. ZPID is an Open Science service provider and conducts research on science acceptance, big data, and metascience in psychology. Together with the Leibniz Lab Pandemic Preparedness we are searching for a
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national center for biodiversity information. Among other things, Naturalis runs large-scale ML services for nature recognition, including bioacoustics algorithms developed in the team. What you will do
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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https://www.cragenomica.es/sites
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10 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Informatics Computer science » Programming Educational sciences
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
[email protected] Website https://recruitingapp-5442.de.umantis.com/Vacancies/2227/Description/2?lang=eng Requirements Additional Information Website for additional job details https://recruitingapp-5442
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://ai.psu.edu/ ), Institute for Computational and Data Sciences (https://icds.psu.edu/ ), and other Penn State interdisciplinary research institutes (https://www.psu.edu/research/interdisciplinary-institutes
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methodology for individual-level inference of large epidemiological studies (e. g., EPIC Potsdam study, German National Cohort study) including omics data Contribute to the software development of the StudyU
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15 Jul 2026 Job Information Organisation/Company ISGLOBAL Department HR DEPARTMENT Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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27 Jun 2026 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile First Stage Researcher (R1) Application Deadline 26 Jun
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management prioritization. 2. Data Synthesis, Scientific Publication & Product Development (25%) ● Synthesize, analyze, and interpret complex ecological, hydrologic, and carbon accounting datasets using