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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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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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-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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of methods for detecting infringements of intellectual property rights Research in the field of explainable algorithms for semantic search Development of innovative methods for information extraction Analysis
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analyses into actionable recommendations for policymakers and stakeholders. Support data collection, analysis, and methodology development for policy evaluation projects within the Industrial Policy Lab
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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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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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, biomedical engineering, neuroscience, physics, or related field • Strong interest in vision science and technical aptitude • Solid analytical abilities with experience in image analysis and/or human
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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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. Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc or equivalent degree in Molecular Biology, Genetics, Biochemistry, Epigenetics, or a related discipline