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Organisation Job description A fully funded PhD position in the broad field of systems and control is available at the University of Groningen, the Netherlands. The specific subject of the project
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Status: Open Applications open: 30/10/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Applications are open for the 2024 HDR Scholarship in flow assurance and corrosion mitigation at Curtin Corrosion Centre. Curtin...
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PhD Scholarship in Design optimizer tool and predictive control system of a Megawatt Charging System
deliver cutting-edge research, provide top-notch designs and developments on power electronics, powertrains and smart green energy solutions with intelligent control systems for tomorrow's mobility
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. In particular, we focus on spinal sensorimotor circuits and their role in encoding somatosensory input and motor control. We apply a systems neuroscience approach combining mouse genetics, molecular
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spoken communication skills The following skills are desirable but not essential: Background in control engineering and/or numerical optimisation Interest in embedded systems or real-time autonomous
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Ultrafast lasers drive innovations from quantum technology to medical imaging, yet controlling femtosecond pulses remains a major challenge. Metamaterials are artificial structures with
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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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safe and sustainable mobility. Research environment The position is located at the Systems and Control division , with extensive collaboration with the Vehicle Safety Division and the Vehicle
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allowing the cell a new degree of control and cellular decisions. New results also indicate that the formation of transcriptional hotspots is dictated by the formation of biomolecular condensates and that
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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