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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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Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with single-cell and spatial transcriptomic analyses is a plus High motivation and curiosity
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data analysis are highly preferred. Exhibit excellent communication and organizational abilities, capable of working independently as well as in collaborative team environments. We offer Goal-oriented
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culture (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
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organic semiconductors Analysis of experimental results, literature work, scientific discussion Dissemination of project results with publications, presentations and outreach events Your Profile
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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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, 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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analysis, combinatorics, geometry, information theory, or stochastics. The new professor will be a member of the Faculty of Physics and Astronomy and the Faculty of Mathematics and Computer
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experience in robotic systems and automation, ideally with applications in precision or laboratory environments Experience with machine learning (especially reinforcement learning in image analysis) is highly
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at Heidelberg University, in particular connecting classical and quantum field theory and complex systems theory with analysis, combinatorics, geometry, information theory, or stochastics. The new professor will