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Factors aims to enable users to live and work in a safe, meaningful, and sustainable way. This is done by adding knowledge about how people interact with technical artefacts, and by developing methods and
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stress as mycorrhiza improve the ability of their tree hosts to resist, tolerate, and recover from drought. The PhD position is part of a project investigating the relationship between soil moisture
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on the development of self-sensing fiber-reinforced cementitious composites (SS-FRCMs) for the dual purpose of structural strengthening and real-time health monitoring of infrastructure. The research is structured
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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introduces new and underexplored vulnerabilities to network-based threats. The goal of this research is to uncover such threats, evaluate their impact on training performance and model integrity, and develop
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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RAM3 . The aim of the project is to enable the broad application of recycled aluminium in high-value products produced through mega-casting. The main goal of the PhD project is to develop high-throughput
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that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se/WIFORCE/en
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, they introduce new and understudied attack surfaces. The research aims to uncover novel network-based threats targeting these systems and to develop robust countermeasures. By systematically identifying