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Develop and implement strategies to ensure the success and growth of a $1M+ comprehensive annual giving program as an integral component of Heidelberg University’s overall institutional advancement
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hosts. The project is centered on the integration and analysis of multiomics datasets utilizing advanced machine learning approaches and biological network analysis. The successful candidate will join an
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, harmonization, and integrative analysis of genomic, transcriptomic, proteomic, and metabolomic data. Functional drug screen analysis: establishing infrastructures and computational workflows to process
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(including organoids and stem cells) and virus infection in BSL2 High-content microscopy and imaging analysis Data analysis and presentation Your profile Master’s degree in Biomedical or Molecular Sciences
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econometric methods to the analysis of complex data sets is desired. Linkages to the Alfred Weber Institute’s existing research areas such as empirical macroeconomics, development economics, environmental
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molecular biology techniques such as RT-PCR, genomic PCR, nucleic acid purification You have experience in cell culture using both cell lines and primary cultures You are familiar with data analysis programs
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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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primarily on the Heidelberg Tributary Loading Program (HTLP) and assist with sample collection and analysis in the laboratory associated with multiple projects. More specifically, this position will include
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, reproductive genetics, and mechanistic pathway analysis, and contribute to a project with direct relevance for future diagnostic tools and therapeutic approaches in human reproductive medicine. You will cover
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data integration, cancer systems biology, and single-cell analysis, with strong links to clinical and translational oncology. Our work is based in the dynamic research environment of Heidelberg