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international profile and academic partnerships Fostering innovation in digital and online education and emerging forms of teaching and learning Representing the School within the university and externally
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identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich
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execution of experiments in the field of Machine Learning (ML): cleaning, preparing, splitting, visualizing data, if necessary crawling and scraping data. Applying (implementation of common ML methods such as
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of this professorship. You are willing to teach Macroeconomics classes at all levels. As a teacher, you are able to guide and mentor students through the challenges of conducting relevant and rigorous
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qualitative methodologies (e.g., in-depth interviews, participant observation, participatory approaches, document analysis, etc.) and/or the motivation to learn new ones. - Passion for research and the tenacity
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increasingly rely on decentralized training paradigms such as federated or swarm learning. These promise privacy-preserving collaboration across hospitals but challenge current notions of transparency
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for Digital Humanities is one of Germany′s leading institutions in the fields of digital and computational humanities. Its key areas of focus are digital linguistics, digital heritage, and AI/machine learning
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8 semesters Beginning Winter semester Application periods A call for new applications is announced in autumn every year. Please visit the IMPRS-BI website to learn more about recruiting faculty
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acquire essential non-scientific competencies in four key areas: Coordination & Management, Communication & Networking, Scientific Publishing, and Career Development & Innovation. As a non-university
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. Strong applied statistics, including methods for longitudinal / repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). Ability to independently learn