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Field
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Intelligence (AI) approaches to quality control of coastal water level observations in a robust and time efficient way. The position is for one year, and it is renewable for an additional 9 months based
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to accountability, justice, and remedy, and to analyse the effectiveness of these routes. Qualitative empirical data will be collected from stakeholders during fieldwork, including victims, via questionnaires, semi
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the ability to work on your own initiative and to act pro-actively. You will also be confident in the use of Microsoft Word and Teams, meeting targets, and with hybrid working. Experience of having
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audiences; and the ability to work on your own initiative and to act pro-actively. You will also be confident in the use of Microsoft Word and Teams, meeting targets, and with hybrid working. Experience
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, perform statistical analysis of collected data and write relevant algorithm. Good writing and presentation skills are ideal for scientific communication. To Apply: Interested applicants must include
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Programmes Equity Fields of Action Networks for Equity Kontakt Team Equity News and publications Back Press Releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine Attempto
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Aging and Alzheimer's Disease A. La Spada: Mechanisms of Neurodegenerative Disease / Neurotherapeutics J. Lipkova: Artificial Intelligence in Medicine. https://octopath.org/ M. Rose: Neuronal Diversity
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approaches. The postholder will contribute to analysing the qualitative data collected, preparing high quality outputs, disseminating research findings to different audiences and completing administrative
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voice in Artificial Intelligence (AI)-enabled restructuring. The Postdoctoral Associate will work with ILR faculty member Virginia Doellgast in the Department of Global Labor and Work. In
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Artificial Intelligence (AI)-enabled restructuring. The Postdoctoral Associate will work with ILR faculty member Virginia Doellgast in the Department of Global Labor and Work. In addition to working