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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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semantic can be inferred. At the end of the processing pipeline, a component will aggregate the accumulated knowledge about the discovered attack surface. The ultimate objective is to provide useful and
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). The goals are to develop new computational methods that allow the scientific inference of explainable attributes to describe human behavior and self-reports as well as to make progress in the computational
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regular and strategic engagement Track and manage a personal donor portfolio, with a focus on timely follow-up and moving prospects toward successful commitments Strategic Communication & Representation
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systems that integrate symbolic and sub-symbolic approaches. Track record of conducting application-driven AI research. Ability to work independently as well as collaboratively in interdisciplinary and
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associated threats. The research project of the PhD student will thus focus on defining methods to track, monitor, and manage the use of GenAI. While this can rely on recentely proposed telemetry framework
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Acting as liaison between data providers, IT developers and data governance teams Ensuring scientific alignment and adherence to ethical, legal, and data protection regulations (e.g. GDPR) Tracking
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, including designing studies, formulating research questions, and applying appropriate methodologies. Sound publication track record in relevant international conferences and journals. Ability to present
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and facilities. Ensuring transparent communication internally and externally (e.g. with volunteers) Ordering, reception, monitoring and dispatching of goods Tracking budget and expenses Dispatch room
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media and other outreach campaigns Contribute to ecosystem animation through storytelling, community building activities and stakeholder engagement Manage and organize EVITA related events Track outreach