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The scholarship is a collaborative effort focusing on industrial design and optimisation of product assembly, quality inspection, and assembly process optimisation. It is expected to be a cross-disciplinary
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nearing completion) in Electrical Engineering, electronics engineering, power electronics, or a related field. Basic knowledge of Basic knowledge of power converter topologies. Basic knowledge of digital
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, power electronics, or a related field. Basic knowledge of power converter topologies. Basic knowledge of digital control of power converters Experience or coursework in device simulation tools (e.g
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-out key analog and mixed-signal building blocks (e.g., low-noise amplifiers, voltage/current sources, multiplexers, digital logic) for operation at cryogenic temperatures. Develop measurement setups
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contact Professor Erin Gabriel. General information about PhD study at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: Application procedure Submit your application
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-high-resolution lithographic processes: You will explore and refine unconventional electron-beam resists (e.g., HSQ, metal fluorides, alkali halides) to reliably achieve robust pitches below 15 nm
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for resilient high-mix low-volume manufacturing. The aim of this PhD project is to enable fast setup of robot manipulators to complete advanced manufacturing tasks by the use of digital models. This should be
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, synthesis, and characterization of silicone-based foams for innovative healthcare applications. Key tasks will include tailoring the chemistry and processing of silicone polymers to create controlled foam
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*************************************************************************** Application and Assessment Procedure Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below. Please include: Motivated letter of application (max
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industrial processes. Your research will drive a paradigm shift in how TES systems are modelled, integrated, and controlled within industrial settings. You will develop novel, adaptive, physics-informed models