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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 13 days ago
willingness to develop additional subject-matter and regional expertise; excellent command of quantitative research methods, including panel regression, analysis of large administrative data, survey data, and
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relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc. About the role We are seeking a
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improvements. In that effort, we seek a post-doctoral researcher with wet chemistry experience to support laboratory work, data analysis, and information dissemination. The researcher will work with an
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without reasonable accommodation. Preferred Qualifications Experience with generating or analyzing large-scale genomic data. Excellent written and oral communication skills. Message to Applicants Central
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-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation
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methods to biological problems Experience with database querying, management systems, and data extraction techniques for large datasets Knowledge of natural language processing (NLP) and/or large language
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9 Apr 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Structural Engineering Research Field Engineering Researcher Profile
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combining historical data and physical modelling to significantly improve the accuracy of large-scale and regional climate projections. The post is a fixed-term appointment for 36 months (3 years), as part of
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 26/02/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS
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investigator and Career Consultants in the Careers and Employability Service on data interpretation, benchmarking and report writing. This includes gathering and systematic analysis of large-scale