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of the following elements: Personal data and funds requested Outline of proposal (detailed requirements as to content and page length can be found on the website) Request to invite a Visiting Fellow or experts
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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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, and optoelectronic properties of nanoribbons prepared from 2D materials, mainly graphene and transition metal dichalcogenides. Our teams are part of a larger collaboration, focusing on various aspects
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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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chemical analysis of secondary plant substances and their reaction products using HPLC-MS and GC-MS identification of novel reaction products cell biological studies (e.g. cytotoxicity studies) analyzing and
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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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. 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