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Field
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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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) Optimization and tuning of catalyst layer performance and durability: morphology, hydrophobicity, porosity Product analysis and analytical chemistry; investigation of side reactions System process analysis and
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control subjects based on diffusion MRI images and functional MRI responses. Duties include: Developing machine-learning and/or deep learning pipelines for classifying patients of optic neuropathies and
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-B4 Investigators: Prof. Dr. Meng Wang, Chair of Traffic Process Automation , and co-supervised by another expert in traffic control Requirements: excellent or very good university degree
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measurements of key organics, plus culture experiments, to uncover the biochemical pathways and environmental controls on methane formation and oxidation. Your job This work will enhance our understanding
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research. The network's goal is to advance infection control protocols, improve implant safety and reduce healthcare costs associated with IAIs. The role holder will develop and characterise novel
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on Friday 15 August 2025 Reference: IM-1930 Position: Doctoral Candidate #5 (DC 5) Project: Safe and legal operation of robots in agricultural environments Host Institution: Harper Adams University
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for at least two academic references. an academic transcript of BSc and MSc education. An interview and an assignment will be part of the selection procedure. The first (online) job interviews will take place
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-performance chain; therefore, enabling stability and control of novel manufacturing processes as well as achieving desired properties within materials science and engineering. Use-cases will be defined within
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive