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addresses one of the most pressing challenges facing contemporary port ecosystems: how ports can develop new strategic roles in support of the green transition. The project will explore how ports move beyond
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Autonomous Building Operation. By monitoring actual buildings, understanding their dynamic behavior through high-resolution real-life data and sophisticated thermal system modeling, you will develop actionable
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of
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individuals differ in their susceptibility to dysglycemia, type 2 diabetes, and related complications. A central goal of the group is to move beyond traditional disease classifications and develop a mechanistic
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years. Your work tasks This PhD project focuses on the design and control of energy-efficient hydraulic systems with integrated safety functionalities. The overall objective is to develop innovative
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field concerns development of innovative concepts that can enable the use of alternative biomasses for production of healthy, tasty and sustainable food products for the future with particular emphasis
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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
Are you passionate about how to train university students for neutron-based investigation at the European Spallation Source (ESS) in Lund? Do you want to research how students learn via digital
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understand how and when infections with diseases affect farmed aquatic animals and to develop and validate protocols for assessing welfare in aquaculture, during different stages of production. The current
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responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective