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Field
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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set of stakeholders on designing a generalizable solution. You should also have: a recent PhD in Computer Science or Engineering, Information Studies, Human-Technology Interaction or similar; experience
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, or another relevant field and experience in at least one of the following areas: Qualitative user studies with software developers. Quantitative user studies with software developers. Design of interfaces
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the climate modeling and services team. The selected candidate will contribute to development and the provision of user-tailored climate services to support risk reduction and adaptation of agriculture
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open standards and structured APIs. Hosted at TU Eindhoven, OpenML serves over 300,000 users, has supported over 2,000 scientific studies, and won the Dutch Data Prize. We are looking for an excellent
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monitoring service, including automated update workflows and a user-facing web GIS dashboard. Investigate the forest, landscape, and climate conditions that drive storm susceptibility, using major windstorms
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. Knowledge of and experience with HCI research methods, user studies, usability evaluations, including qualitative methods such as interviews and focus groups and quantitative methods such as surveys. Personal
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28 Jul 2026 Job Information Organisation/Company University of Galway Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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and the provision of user-tailored climate services to support risk reduction and adaptation of agriculture in Morocco and the African region. The successful candidate will be responsible for developing
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in human-computer interaction, interaction design, or sports, health and wellbeing technology Good theoretical knowledge and hands-on experience in several of the following areas: user interface and