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for data analysis and experiment automation (Python preferred) Excellent English communication skills (written and verbal) Demonstrated ability to work in interdisciplinary and collaborative environments
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-driven simulation with physics-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization
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analysis of social change; it is primarily in this domain that its researchers contribute to anthropological theory, though many programmes also have applied significance and political topicality
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-based, stakeholder-related tools for the life cycle decision of products and based on this the matching of different actors from the areas of the circular economy, in particular reusing, repairing
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based at DIGIT as well as the collection and analysis of requirements from existing partners. In addition, further partners are to be integrated into the network and new formats and pilot projects
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projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biophysical approaches and the generation of mathematical models to the development of new
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to reason about software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new
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plan by conducting experiments, sample and data analysis, and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher! Throughout
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a four-year research project. Execution of the research plan through conducting of experiments, sample and data analysis and write-up of results for scientific publication are part of the PhD process
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of the research plan through conducting of experiments, sample and data analysis and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher