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with disabilities through inclusive Human-Computer Interaction (HCI) and participatory design methods. This PhD project will focus on methods and experiences in co-designing with stakeholders, especially
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understandable explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve
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methods, and/or retrieval tasks is advantageous but not required. What we offer We offer a temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of
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multidisciplinary methodological design and includes qualitative (e.g., fieldwork including in-depth interviews, focus group discussions) and quantitative (e.g., content analysis, surveys, experiments) methods
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research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. The INtelligent Data
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backgrounds and an interest in political science and human geography. We are looking for a candidate with training in qualitative research methods such as ethnographic fieldwork and policy analysis. Candidates
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-occurring signals using phospho-proteomics. Proteins that are potential hubs of signal integration will be characterized through molecular- and biochemical methods. Using microfluidics coupled with advanced
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properties on the structures underlying quantum computations. A main component of the project will be using the ZX-calculus, a graphical language for reasoning more intuitively about quantum processes. As PhD
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what extent and how misinformation impacts these at-risk individuals. Subsequently, we develop and test new intervention methods that strive to increase resilience against misinformation among those who
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characterized by applying protein biochemistry methods. In addition, you will study plant resistance in different tissues by employing bioluminescent Xcc reporter strains that allow us to non-invasively track