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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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, 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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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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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
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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
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infrastructure. The position entails active involvement in both experimental procedures and computational data analysis, alongside the improvement of advanced methodologies, including single-cell proteomics
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analysis of experimental data using appropriate computational tools. Ideally, the successful applicant will strike a balance between development and application of methods for spatial high-resolution imaging
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lines; generation of samples for proteomics analysis Data integration and analysis, including transcriptomic, proteomic and library screen data Target validation by CRISPR-Cas9 knockouts in primary AMLs
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experience in Research and Prospect Management and/or Donor or Constituent Relations. Preferred Education and Experience: (A) Master’s degree; and, (B) Five (5) or more years successful and professional
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degree in (analytical) chemistry, biochemistry, or a related discipline Hands-on experience in mass spectrometry-based proteomics (e.g. DDA, DIA, PRM) Experience with proteomic data analysis Computer