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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago
expertise; excellent command of quantitative research methods, including panel regression, analysis of large administrative data, survey data, and statistical programming in Stata/R/etc; excellent oral and
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technology, computer science, data management and data analysis, or at the intersections of any of these fields. The school complements this with an individually tailored course program for both physicists and
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24 Mar 2026 Job Information Organisation/Company Reykjavik University Department Human Resources Research Field Environmental science Researcher Profile First Stage Researcher (R1) Recognised
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, clinical and histological data in a translational framework. Main activities: - Bioinformatic analysis of WES and RNA-seq data. - Somatic variant detection and annotation. - Statistical and clinical
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and
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workflows and contribute open source tools for use in data analysis Present your results at international conferences, publish in peer-reviewed journals, and contribute to training activities within
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and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning Technologies, Human-Computer Interaction, or a related field
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. Further develop of Matlab and Python codes for medical image analysis. Perform advanced statistical analysis using RStudio. Where to apply Website https://jobs.vhir.org/jobs/7291134-predoctoral-researcher
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6 Mar 2026 Job Information Organisation/Company UNIVERSIDAD DE ZARAGOZA Department EUROPEAN PROJECTS OFFICE Research Field Physics Researcher Profile Established Researcher (R3) Positions PhD
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conferences. Candidates must hold a PhD in demography, epidemiology, public health or related discipline in the social sciences. The ideal candidate is preferred to have prior experience with data collection