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scrambling. These splicing processes are regulated by cis-regulatory sequences and trans-acting splicing factors (SFs). While most mRNA isoforms produced from the same mucin gene locus encode similar
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mortality rate. This project will involve a comprehensive approach combining bacterial whole genome sequencing, genomics based bio-informatics, chemical analyses of bacterial compounds and immunological
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short and long-read sequencing and transcriptomics, and iPSC-based disease modeling to better understand the genetic etiologies of intractable epilepsy. The team is part of the European STXBP1 consortium
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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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techniques such as next-generation sequencing, RT-qPCR, and nucleic acid extractions Programming experience, preferably in Python or R, and experience in the Linux environment Experience with large-scale data
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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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' button and complete the online application form. Be sure to include the following attachments: Motivation letter: Explain your drive for pursuing a PhD in AI for bioinformatics and how you align with
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: Redefining private law in the era of Autonomous AI, aligning with the research line ‘Distinction between person and thing’ . They will benefit from supervision and feedback of professors from both research
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postdoctoral eligibility criteria . Alignment with the research policies and standards of the faculty and university . Awareness and respect for diverse cultural and academic norms. What we offer Appointments
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the faculty and university research policies . You are willing and able to adopt an interdisciplinary perspective and consider multiple research methods, such as oral history interviews, participant