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The School of Architecture and Landscape are pleased to be able to offer a 3.5 year fully funded scholarship to a Home student with an excellent idea for a PhD in Architectural Humanities
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
January 2027. This PhD explores the design of human-AI teams when the AI agents operate at ‘machine-speed’ (i.e., significantly faster than human cognitive and communication capabilities). The research will
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships provide funding for fees and stipend at the rate set by the UKRI, as well as other research training...
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26th October 2026 Languages English English English The Department of Design at NTNU has a vacancy for a PhD Candidate in Human-Centred Design for AI Companionship and Care in Ageing Societies Apply
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Human-Machine Interaction are available for appointment from October 1, 2026, or as soon as
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DTU Management invites applications for a 3-year PhD Scholarship associated with the project “Brains in Motion: Explaining How Humans Learn and Adapt to Navigate Urban Environments Using Artificial
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are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with diverse backgrounds and experiences. We regard equality, equal
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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appears protective. This inverse relationship provides a powerful genetic entry point to identify pathways that drive vulnerability or resilience genome wide. This project will use computational methods