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Vincent C. Müller (FAU Erlangen‑Nürnberg). On the research side, the appointee will pursue an independent research programme in the philosophy of AI and participate in the activities of the AI & Humanity
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Post-doctoral Fellow / Senior Research Assistant (Holding the Functional Title of Senior Psychology)
include: Assisting in the design and development of research studies and evaluation frameworks. Supporting the implementation of research activities and programme evaluation. Collecting and analysing data
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materials, resources, and programme content Managing research data, performing statistical analysis, and preparing reports Monitoring project progress and ensuring timelines are met Supervising junior
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, Faculty of Social Sciences. Major tasks include: Devising and designing research studies and evaluation frameworks. Implementing research activities and programme evaluation. Collecting and analysing data
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(e.g., remote sensing and Geographic Information Science [GIS]), Environmental Change and Sustainability, and Cities, Culture and Society. The Department's scholarly work is supported by a Cartographical
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Responsibilities work on the research projects related to photonic or neutral atom quantum computing, and quantum information/simulation under co-supervision of Profs. Zidan Wang & Xianmin Jin coordinate theoretical
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Fellow (several posts) in the Department of Chemistry (Ref. 536698), to participate in a cutting-edge research programme on “Smart Power Systems for Autonomous Platforms,” focusing on next-generation
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, Statistics, Computer Science, Informatics or related disciplines. Preferably a minimum of 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level. Proficiency in
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models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related
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(such as computational problem-solving with programming, data science, mathematical modelling, and statistics) to empower them to innovate; Delivering interdisciplinary courses with effective and innovative