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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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PMSRM/PMSynRel) control using inverters, high-performance motor drive control, and Battery Management Systems. • Develop digital twins of the detailed electrical power system based on the concept
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Supervise and mentor research associates, engineers, and PhD students working on the project Collaborate with perception, controls, systems, and hardware teams to guide integration of learned policies
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robotic technologies for understanding, enhancing, and restoring human movement. The role will focus on wearable robotics, human biomechanics, intelligent sensing and control, and assistive technologies
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contact metallisation, channel cleaning and passivation, and threshold-voltage control — within a BEOL-compatible (≤ 400 °C) thermal budget. • Build a silicon-fab-compatible contact integration
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structural control for advanced multifunctional applications in electromagnetic shielding and thermal management. The detailed work includes: (1). Establish a precise fabrication methodology to construct long
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: Development of novel designs and mechanisms for shape-morphing structures Development of models for sensing and control in shape-morphing systems Experimental implementation of designs Engaging in scientific
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Device Fabrication & Characterization Fabricate and characterize high-quality quantum material devices with precise control over structure and electronic properties Conduct low-temperature
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student. Job Requirements: PhD in mathematics, applied mathematics, physics, control theory, electrical engineering, or a related field with 4 years of relevant experience. Research record in open quantum
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/ Research Assistant [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Study on grain structure control of high-purity oxygen