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includes the opportunity for three weeks of training in higher education teaching and learning. The postdoctoral fellow will: Develop and maintain harmonized satellite time-series datasets (Landsat and
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machine learning and data harmonization approaches for water quality monitoring and assessment. Responsibilities include developing and validating computational methods to standardize and infer nutrient and
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-based analysis of research data as a meta-domain and discovery of relevant datasets through both graph search and guided browsing through relationships. Along with Yale managed datasets, these will also
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modifications, structural proteomics, or systems-level analysis of molecular and cellular biology. Research may involve large-scale public proteomics datasets, data harmonization, cross-study integration
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analysis and good experimental practice Work closely with the Attochirality team, including the group's electronic and mechanical engineers and external collaborators in spin detection and theoretical
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research involving large-scale public datasets, multi-omics integration, biological data harmonization, systems-level analysis, or related areas that synergize with the scientific goals, data products, and
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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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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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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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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