141 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" PhD positions in Denmark
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emphasizing the resilience of offshore marine infrastructures exposed to harsh and extreme environmental conditions. Through this PhD scholarship, you will contribute to the development of a physics-informed
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small-scale processing sector. By joining this project, you will contribute to the development of AI-powered tools that predict non-compliance, improve food safety monitoring, and ultimately protect
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
PhD student eager to dedicate three years emphasizing the development and testing of next-generation serious gaming approaches with respect to construction safety, health, and well-being or emergency
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qualified candidate to develop research and methodological tools to assess and to improve the welfare of farmed fish, contributing to the sustainability of aquaculture practices in the EU. We offer a 3-year
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transition. It addresses challenges such as volatile energy prices, inequality, and household risk exposure, while developing policy-relevant insights for fair and efficient energy systems. A consortium of
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with intelligent, data-driven emergency planning, aiming to develop robust tools for communities and authorities to prevent and mitigate the impact of natural disasters such as wildfires. Working closely
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Doctoral Network SCARPA in shaping the future of circular and sustainable footwear. As a PhD candidate, you will contribute to developing a better understanding of the compositional knowledge of shoes
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this challenge by developing privacy-preserving data sharing and analytics tools, with a focus on “differential privacy”. A core theme will be to balance privacy and utility: ensuring that shared data remains
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industrial processes. Your research will drive a paradigm shift in how TES systems are modelled, integrated, and controlled within industrial settings. You will develop novel, adaptive, physics-informed models
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no-show appointment rates. We develop methodologies for elderly care systems in rural areas by integrating primary and specialist care (coordinating between the sectors) using advanced data-driven planning