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of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026 PhD Position 3 “Image-based analysis of human cohorts” (65%, Lipidomics Group) Ref. Number: 397_2026 PhD Position 4 “Data Science” (100
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types that reflect related biological mechanisms, such as proteomics, metabolomics, and transcriptomics. Latent variable models are widely used for identifying the underlying structure in such high
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to enable drug discovery applications”. Are you interested in mapping the binding sites of the human proteome and developing new pharmacophore software to screen against the sites to identify novel bioactive
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Bioanalytics for the Proteomics research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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tissue samples from melanoma and other cancer patients Development of targeted metabolomics, lipidomics, and proteomics assays Validation of biomarkers using MALDI-MSI and LC-MS analyses in human tissue
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multiple lines of treatment for more than 1000 patients have been collected. Multiple samples derived datasets have and are being generated, including genomic DNA analysis, serum proteomics, peripheral blood
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, life sciences data systems, and analysis of various kinds of ‘omics data (e.g., metabolomics, proteomics, genomics, transcriptomics, etc.). Values & Abilities: Excellent written and verbal communication
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algorithms for asthma. The methods to be employed will include cell culture, transcriptomics, proteomics, multiplex assays, flow cytometry, and machine learning. This project combines expertise in cell biology
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profiling and proteomics, to identify key regulatory pathways. A strong translational dimension is embedded in the project. Building on robust preliminary data generated within the host laboratory
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and mouse tissue, handling of proteomics data, and cell culture studies. Other tasks within the research group and conference travel (1 time/year) may also occur. Qualifications Requirements