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Field
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keen interest in theranostics, this role is perfect for you! Benefits: 401(k) Dental insurance Flexible schedule Health insurance Paid time off Ability to commute/relocate: Iowa City, IA 52242: Reliably
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multi-modal AI models that can effectively handle uncertainty and generate reliable outputs. This is an exciting opportunity to work at the cutting edge of AI research. Your work will support safe
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work closely with the engineering team at SSEN to translate your research to real-world impacts. What you would be doing As a Research Associate, you will investigate the evolving role of electrical
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, electrical engineering, and computer science. Desirable skills/interests: Signal processing, machine learning, applied optimisation. Objectives: To analyse large-scale data that is reliable and collected from
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deliver models and tools that enhance the stability and reliability of future low-inertia power systems. You must have a PhD in Electrical Engineering, Control Engineering, Physics or Mathematics
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1st February 2026 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD Candidate PhD Candidate in Unified Autonomy across Robot Configurations Apply
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1st February 2026 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD Candidate PhD Candidate in Underwater Foundation Models Apply for this job See
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inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate
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. This PhD project will explore a novel approach: leveraging polymeric microelectromechanical systems (MEMS) technology to create a miniaturised micropump-based ingestible capsule that can actively deliver
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microclimates that demand dense sensor networks and reliable data retrieval. This project focuses on developing nature-inspired hardware to deploy Internet of Things (IoT) sensors in forest ecosystems. Combining