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Field
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mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI, Digital twins or physics-based modeling, wide-bandgap semiconductor technologies. Excellent written and spoken English
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applications for surface analysis, including the production of Digital Elevation Models (DEMs); Experience using AI/ML methods for data collection, analysis, and intelligence development; Experience developing
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building sensor data, you will train AI models to recognize abnormal performance patterns, quantify quality-adjusted service life, and autonomously recommend whether a system needs maintenance, recalibration
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, you will train AI models to recognize abnormal performance patterns, quantify quality-adjusted service life, and autonomously recommend whether a system needs maintenance, recalibration, or a capacity
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are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates
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projects address complex systems where data-driven models can accelerate discovery and decision-making. Environmental Sciences — IDEAS tackles questions shaped by spatio-temporal dynamics, changing
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and digital transitions, often referred to as the twin transitions. Across Europe, governments, industries and public institutions increasingly rely on scenarios, models, indicators, roadmaps and
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research program focused on advanced neuroimaging and computational modeling in collaboration with Pediatric Neurosurgery and the Adult Cerebrovascular Division. This faculty member will develop a
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user-informed machine learning models that incorporate geological/geotechnical priors to interpolate 3D rock mass properties between sparse data points. Architect and implement a new stope optimization
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neurodevelopmental huntingtin (HTT) modulation across multiple spatial and temporal scales using dedicated mouse models of controlled HTT expression, combined with advanced non‑invasive functional MRI and