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xenograft (PDX) models. To this end, the candidate will have direct access to cutting-edge mass spectrometry and advanced bioinformatics infrastructure. The project is part of the collaborative research
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systems Data analysis, interpretation, and collaboration within the CRC: bioinformatics-assisted interpretation of molecular and functional data, close interaction with collaborating groups Your Profile
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Contract:TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin interaction analysis and single-cell approaches
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Imaging of mouse bone marrow Analyses of clinical data and correlation with wet lab findings Your profile Master degree (or similar) in molecular biology, biomedicine, biotechnology, bioinformatics or a
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learning, as well as process-based models integrating thermal biology mechanisms. Funded by the ”Federal Ministry of Research, Technology and Space” (BMFTR), CSIDlab as part of the “Vector-borne disease
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learning, as well as process-based models integrating thermal biology mechanisms. Funded by the ”Federal Ministry of Research, Technology and Space” (BMFTR), CSIDlab as part of the “Vector-borne disease
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Contribute to the publication of scientific research findings Your profile: Excellent Master’s degree in Data Science, Computer Science, Computer Engineering, Natural Sciences or a closely related field Strong
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groups are strongly encouraged to apply. Your Tasks: Development and application of algorithms for modelling, evaluation and visualization of ultrafast processes Investigation of ultrafast dynamics in
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and mechanical characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new
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, we focus on understanding the decision-making process of the developed ML tools and devising new strategies to bridge potential gaps between the astrophysical simulations and real observed data (using