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on our shared expertise and gaining multiple new skills including not only scientific but also personal and career-development skills via our comprehensive training program. Other postitions are available
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry
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Immunology and Computational Biology Reference number: 2025-0104 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
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period of three years, extension possible. PhD program as part of the enrolment in the Graduate School of Life Sciences, with hands-on supervision, intellectual support. Access to multiple core facilities
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highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW
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Science Initiative is a graduate program that focuses on "fusion of disciplines" to create a new academic discipline by fusing multiple fields of expertise. There are two divisions according to the spread
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organoid transplantations, CRISPR/Cas9, quantitative proteomics/phosphoproteomics, multiple transcriptomics and genomics approaches, single cell sequencing and imaging, histocytometry) Use advanced
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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qualification (usually PhD). Tasks: This research project funded by the German Science Foundation within the Priority Programme "Productive Biofilm Systems" aims at, in close collaboration with a partner group at