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users: provide project consultation, training and hands-on support, schedule and prioritize measurements, and ensure timely data delivery Drive method development for single-cell MSI and integration with
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in
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. Prerequisites Doctoral degree with quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software
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in the consortium. Your profile PhD in the field of mass spectrometry-based proteomics Ample experience in mass spectrometry-based proteomics, including sample preparation and hands-on use of modern
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Cancer). Your profile PhD in Bioinformatics, Computational Biology, Data Science, or related field. Experience in multi-omics data analysis and/or drug screen data processing. Experience with HPC/cloud
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scientists and bioinformaticians at the national and international level Your profile PhD or equivalent qualification in computational biology, bioinformatics, or a related field in the computational
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: Heidelberg Job Category: Science and teaching Working hours: full-time (100 %) Published: 30.09.2025 Limitation:Temporary (24 months, extension is sought) Contract:TV-L Your Profile PhD in a relevant field (or
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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interpret data. Contribute to publications, presentations, and open-source tools related to the project. Your profile PhD in Bioinformatics, Computational Biology, Computer Science, Physics or a related field
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applicant will have good communication and organisational skills and a PhD in a relevant area (or be in the final stages of completion). Candidates are expected to be highly motivated and to work