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of CRC-associated mucin mRNA isoform signatures in predicting the optimal therapy. These research objectives will be approached using established high-throughput next-generation sequencing, molecular
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to create an AI-powered voicebot in a recruiting context. Key challenges are to achieve (1) controlled adaptation of the question sequence in the conversation; (2) personalization of dialog flow as
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, its alignment with grid constraints as well as policy options (like new market rules, grid tariffs or curtailment) and their welfare implications. For further information, please contact Your profile
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grid tariffs that align grid and market incentives (e.g., price elasticities, dynamic tariffs, nodal pricing, etc.). For further information, please contact Your profile Master's degree in Information
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opportunity to investigate a broad range of research areas and design an individual research portfolio with high impact. As such, successful candidates will be able to align the skills that they learn pursuing
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the healthcare and water sectors. A transnational strategy will be developed, aligning with the relevant policies of seven NWE countries and providing a framework for future joint efforts. Strategic guidelines
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insights into molecular quenching dynamics. This fundamental research project will have potential impact in sensing concepts for multiple biomolecules, including nucleic acids, proteins, and other clinically
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on projects with more than 60 industry partners Multiple funding sources for your ideas. The University supports researchers in acquiring funding from national, European, and private sources Competitive salary
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on the topic of the advertised position. After a first screening, selected candidates will be invited for an interview (also possible via Teams). The selection process will involve multiple steps.
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focus on non-coding ABCC6 variants and variants in novel disease genes, using whole genome sequencing (WGS). Next, validated biochemical assays will be used to evaluate the effect on protein function