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The Data Integration in the Life Sciences (DILiS) research group at the Institute of Computer Science at Freie Universität Berlin is headed by Katharina Baum. We primarily investigate and develop
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for this purpose. In addition, a virtual parameter study is carried out based on the process model in order to investigate the influence of process parameters on the temperature distribution. Based on the parameter
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for microbial contamination are selected hydrochemical parameters and the particle size distribution. The possibility of pursuing a doctorate is given. In addition to your research work, you will also contribute
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system development and software development for four scientific laboratories Measuring devices and data analysis • InSAR (Interferometry of Synthetic Aperture Radar) computing system • IR mass spectrometer
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organismal systems across diverse biological contexts. Using a blend of cutting-edge experimental and computational approaches, we strive to decode and model complex biological processes—from single-cell
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, active participation in the new interdisciplinary study program Data Analytics in Economics and Business is required. Research should address economic questions with a methodological focus on theoretical
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university preferably in the subject areas of computer vision, computer graphics, computer science, media informatics or creative technologies Good programming skills in C++, C# for support in algorithm
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cutting-edge structural, computational and systems biology approaches, including combining high throughput perturbations (genetics and chemical) to multi-modal readouts (cellular and omics), to gain
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computational models with the "exact" but lower resolution information available from experiments. Job description: Application of specially developed approaches to define for transferable force-fields with
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, computer engineering, or a comparable field (bachelor's/master's degree) Interest in modern manufacturing technologies and welding processes Experience with Python/data analysis Structured, independent