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Field
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control to improve part quality, reduce defects, and tailor anisotropic performance. Integration of advanced post-processing methods to improve the structural integrity, performance, and reliability
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, user training, scheduling, and service coordination. Development of Standard Operating Procedures (SOPs) and quality-control workflows. Maintenance and troubleshooting of core instrumentation. Instrument
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Control of Skin Pigmentation Medical Physics • Neurochemical Characterisation of Epileptogenic and Cognitive Networks with 7T MRSI • Deep Learning for Real-Time B0-Field Stabilisation at 7T MR Scanner
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. The network’s goal is to advance infection control protocols, improve implant safety, and reduce healthcare costs associated with IAIs. Application details: Number of positions: 16 PhD fellowships Application
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advanced motion control. Faculty research includes:•Electric Power & Energy Systems, renewable energy integration, smart grids, and microgrids•Power electronics with wide-bandgap semiconductor devices
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area of power systems with special interest in power system controls, protection, optimization, and AI/ML applications in power and energy systems. Experience with experiments and hardware-in-the-loop is
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documentation. Data management & computational reproducibility. Experience with data pipelines, version control (e.g., GitHub), reproducible workflows, and cloud or HPC environments. Additional Information: In
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control practices, analyzing data with various statistical techniques, and preparing data for dissemination at local/regional/national/international scientific meetings, submitting manuscripts to peer
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) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and validating new robotic lower-limb prostheses 3) Exploring other high-risk high-reward research areas related
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with core facility management: Oversight of day-to-day core operations, user training, scheduling, and service coordination. Development of Standard Operating Procedures (SOPs) and quality-control