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than twenty societal partners, representing fields such as security, education, healthcare and social services. The CONTEXT project will develop personalised biofeedback methods that train youth and police to
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other AI applications in clinical workflows. In this PhD position, you will contribute to the development of a practical integration approach that enables standardised data exchange and model deployment
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(or not) of their owned products? Are you enthusiastic about developing and empirically testing innovative (marketing) ways to motivate consumers towards repair? If so, then we have the perfect opportunity
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under dynamic workloads, strict real-time constraints, and limited computational resources remains a key technical challenge. This PhD project addresses these challenges by developing efficient
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frameworks from the past decade of international literature Contributing to the co-design and iterative development of the Planetary Health Policy Compass, a practical tool to support integrated planetary
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on performance during Fischer-Tropsch synthesis under intermittent conditions using operando scanning probe microscopy, developed in our group. Other characterization methods such as low-energy electron
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duration in gene regulation — bridging statistical physics, stochastic processes, and real biology. Job description During the development of an organism, gene regulation allows proteins to be expressed so
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manipulation, topological quests in magnetism, and applications for energy efficient computing? Join us as a PhD candidate to develop magnetic topology on demand! Information Topologically-protected conductors
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incompletely understood, partly due to the lack of physiologically relevant experimental models. This project aims to develop an advanced multicellular organ-on-chip platform that recapitulates the structural
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? No Offer Description Are you fascinated by the rapid evolution of Earth Observation (EO) and eager to shape the next generation of validation methods for near-real-time land change monitoring? Do you