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contribute to development of sustainable and biomedical materials. The results will be combined with theoretical modeling and simulations. Your profile Completed studies or about to be completed studies (M.Sc
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relevance. This project bridges materials science, bioengineering, and cell biology, contributing to the development of advanced biomaterials for tissue engineering and disease modeling. Your profile Master’s
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researcher as of the next possible date at the following conditions: 100% = 39,83 hours Pay grade 13 TV-L limited for the duration of three years Your tasks: Conduct research on energy-efficient wireless
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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. The research group Molecular Modeling / Section III are currently looking for a committed PhD Student to start on 15/01/2026. PhD Student (m/f/d) The Leibniz Institute for Food Systems Biology at the Technical
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and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and
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and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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are offering four PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL-DBE). The SDL-DBE develops and applies multiscale models, AI-enhanced simulations, and computational workflows across IBG
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, making exciting new strides into uncharted territories, we investigate how cell differentiation, pre-existing immune conditions, superinfections, aging, etc. affect the infection outcome using model