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Field
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computational approaches to problems in molecular and cellular biology. Research may involve large-scale public datasets, biological data harmonization, representation learning, predictive modeling, foundation
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construction, data harmonization, statistical analysis, and reporting. Mentoring and professional development The postdoctoral associate will participate in regular one-to-one meetings with the PI, weekly
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months agoecosystems. The goal is the harmonization and interoperable use of research data within the European research area. We are looking for talented people to join us. Your responsibilities include Design
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manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization; Leading
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with environmental/scientific datasets (cleaning, processing, analysis, synthesis). Strong programming skills, especially Python (or comparable scientific programming). Experience with LLM-assisted
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acquisition, signal processing, and data analysis for pilot studies and clinical validation. 7, Perform other duties and responsibilities as assigned. Requirements 1, Ph.D. in Mechanical Engineering, Biomedical
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on research topic that may be presented to small and/or large groups. Actively participate in the preparation of required technical progress reports to research sponsors. Data management Harmonizing phenotypes
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
parameters, including hydroacoustics, catch data, eDNA, imaging data, phytoplankton and zooplankton Contribute to harmonized FAIR-compliant data products from autonomous observatories and other national
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. Experience with spatial analysis and geospatial data integration, including use of GIS tools (e.g., ArcGIS, QGIS) to link, harmonize, and analyze datasets across spatial scales. All positions are security
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or program datasets. Proficiency in statistical programming and data analysis tools: R, Python, Stata, or SAS SQL/database management preferred. Ability to clean, harmonize, and analyze complex datasets from