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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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topics in small subgroups. Teamwork is a key factor to our group’s success. Together we have assembled a unique skill set and knowledge base in quantum information, quantum computation, quantum
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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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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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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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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
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social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas to automate, accelerate and improve decision making
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on preparing proposals for international research projects Student support, in particular concerning the analysis of quantitative and qualitative empirical data; participation in examination activities
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). • Experience with quantitative analysis, such as statistics, scientific programming, and/or numerical modelling. • Excellent written and spoken English (working language is English). • Ability to work
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programming and quantitative analysis (e.g., statistics, scientific programming, numerical simulation) • Excellent written and spoken English (working language is English). • Ability to work independently