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and submitted until October 15, 2025, and should be addressed to Prof. Dr. Heiko Schoof, Dean of the Faculty of Agricultural, Nutritional and Engineering Sciences at the University of Bonn, and Prof. Dr
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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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postdoctoral-level candidate with specialization in bioinformatics or computational biology approaches, with special preference for single-cell analyses. The teams of Prof. Garg and Prof. Naulaerts aim to apply
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of Psychology), are expanding and would welcome individuals with an interest in this area. A close collaboration with the Department of Cancer and Genomics (Prof Jason Parsons) and the School of Computer Science
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passionate about working in a team. You will lead the publication of results in high-impact scientific journals. You have a strong background in physics, geophysics, materials science, computation, engineering
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evolution, molecular microbiology, synthetic communities, and computational biology. The project aims to pioneer a novel form of phage therapy by engineering prophages—phages integrated into bacterial genomes
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the following topics: Large Language Models and Multimodal Language Models Generative Networks and Diffusion Models Program Analysis Software Testing Automation The candidate should have critical thinking and
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agreed upon with the relevant union. The position is a full-time position. The researcher position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You
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. The position will be in the group of Prof. Thomas Heine at the Chair of Theoretical Chemistry where 40 researchers from 9 nations work interdisciplinary in the fields of computational materials science