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systems, and control with a PhD degree from a university in Computer Science, Robotics, Mechanical Engineering, or related fields, with a proven track record in robot navigation control or deep learning
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or a foreign degree equivalent to a PhD in Automatic control or related subject. A doctoral degree awarded no more than three years before the application deadline provides a useful qualification
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towards the design of large scale multiplexing of control and readout drives based on cQED space-time modulation Metasurfaces. The candidate will collect and analyse experimental data, write up
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command of English and German as well as some command of Latin. You will be based at the University of Liverpool campus. You must be prepared to undertake research and related activities, including archival
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of analysis. You will work closely with two PhD students whose focus will be on the Netherlands and Finland. DEPOP’s ambition is to shed a new light on the histories of ‘stayers’ in rural and urban
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of materials using chemical vapour deposition (CVD synthesis) at the level of designing protocols and conducting synthesis experiments, experience in the CVD furnace upgrading with a system for control and
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control and that can be used in virtual safety assessment. Project description The position is at the Vehicle Safety Division with extensive collaboration with the Systems and Control Division , and will
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on European regional comparison predominantly at the macro-level of analysis. You will work closely with two PhD students whose focus will be on the Netherlands and Finland. DEPOP’s ambition is to shed a new
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: Candidates must have a PhD degree in mechanical, electrical, aerospace, or nuclear engineering with a focus on instrumentation and/or controls. Experience developing control algorithms and implementing control
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scientific and industry partners. You will support our PhD students, publish in scientific journals, and participate in conferences. Your tasks Design and implement digital twins for district energy systems