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modeling to create a predictive tool that spans orders of magnitude in length and time. Hands-On Numerical Modeling: Implement your model in a custom-made data analysis tool that uses advanced optimization
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analysis Participation in administrative tasks of the institute Your Profile In-depth knowledge of transportation planning, road design and traffic data analysis Very good computer skills German and English
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invertebrates Cultivation and experimental handling of Daphnia species under controlled conditions Analysis of lipid composition using chromatographic and mass spectrometric techniques (GC-FID, HPLC-MS/MS, MALDI
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well as fungal transformation is appreciated Experience with fluorescence microscopy Knowledge of programming, R, statistical analysis or bioinformatic is strongly appreciated Excellent English proficiency in
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publication-based PhD qualification, including: - Review of previous literature and the relevant theoretical background - Analysis of existing/secondary survey dataset(s) - Development of new survey and
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commensurate with the level needed for a publication-based PhD qualification, including: - Review of previous literature and the relevant theoretical background - Analysis of existing/secondary survey
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where it can be targeted. What you will do Build robust, reproducible scRNA-seq analysis workflows and benchmark methods (simulation + real datasets) Develop rare-event–sensitive CIN/aneuploidy metrics
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controlled systems. The end goal is a mechanistic and clinically relevant map of how CIN shapes cancer behavior and where it can be targeted. What you will do Build robust, reproducible scRNA-seq analysis
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from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
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and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and social network analysis. Machine learning with