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teaching obligations aligned with the candidate’s expertise and offered at TUM by the Professorship of learning Analytics. The doctoral researcher will work with rich longitudinal data on student interaction
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project on transparent, agent-based AI methods to support multidisciplinary tumor boards in oncology. You will develop methods to transform heterogeneous oncology documentation into structured, time-aligned
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for more than 3,500 treatment courses, aligned with the OMOP Common Data Model and robust data-quality rules Develop and evaluate agent-based AI functions for therapy-sequence support, clinical-trial matching and
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) and handling big data (sequencing, mass spectrometry, or similar) • Enthusiasm and background in establishing techniques in molecular biology, data management (big data, sequencing analyses) and related
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, and adult cardiac editing • Molecular analysis of editing efficiency (PCR, qPCR, sequencing) • Tissue distribution and expression analysis • Contribution to translational studies in porcine cardiac
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writing and impact at the University of St. Gallen), monthly paper development seminars, and annual network reviews aligned with major community events. Over the project, you'll earn at least 20 ECTS
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of St. Gallen), monthly paper development seminars, and annual network reviews aligned with major community events. Over the project, you'll earn at least 20 ECTS through local and network-wide training
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of St. Gallen), monthly paper development seminars, and annual network reviews aligned with major community events. Over the project, you'll earn at least 20 ECTS through local and network-wide training
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, presentations, reports, and decision documents for the Department leadership. Monitoring project timelines, risks, and dependencies across multiple infrastructure projects. Your Profile University degree
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societal challenges across its central innovation sectors: the future of health, work, environment, and mobility. More than 70 professors from multiple TUM faculties collaborate within MIRMI, fostering