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microscopy) MALDI MSI, laser microdissection MS, and LC-MS analyses to identify metabolite, lipid, and protein profiles in murine tissue and blood Evaluation, analysis, and visualization of data Documentation
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samples Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or a degree in a natural
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-oncological risk assessment Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or a
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predict food-effector systems. Key Responsibilities • Develop graph-based (multi-)omics analysis algorithms • Benchmark graph-theoretic against graph-ML approaches • Analysis of food-related (multi-)omics
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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and analysis Assist in compiling and cleaning datasets Assist with documenting research processes and maintaining organized research files and datasets Assist with data visualization, tables, and
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group Integrative Food Systems Analysis / Section III are currently looking for a committed PhD Student to start on 01/05/2026. PhD Student (m/f/d) The Leibniz Institute for Food Systems Biology at
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
components. To strengthen our research group, IntegrativeFood Systems Analysis / Section III, we are currently looking for a committed PhD Student to start on 01/05/2026. The position is part-time (TV-L 13, 65
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for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models
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for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models