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Electrical Engineering and Computer Science Nanotechnology/Devices (more...) Electrical and Computer Engineering Health Tech Microelectronics BioNanotechnology Artificial Intelligence, Machine Learning and
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leading microelectronics research centres, funded travel to top-tier conferences like DATE, ISCAS, and NeurIPS, and active involvement in co-design with industry partners. The multi-phase research plan is
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). The position offers the chance to obtain further academic qualification (usually PhD). Tasks: scientific research in the field of integrated microelectronics with a special focus on biomedical applications
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to microelectronics and space hardware. The aim is a machine learning approach that can build a model from experimental and operational data, but with sufficient physical insight to ensure that the model is robust and
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scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing
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Electrical/Electronic Engineering, Materials Science, Nanotechnology, Microelectronics or a related field -Hands-on experience or strong knowledge of micro/nano-fabrication techniques (e.g., laser direct
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for Electrical Drives, Power Electronics and Devices Institute of Automation Institute for Microsensors, -Actuators and -Systems Institute of Electrodynamics and Microelectronics Institute for Telecommunications