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                Field
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                design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and resource-efficiency requirements. This collaborative doctoral project brings together 
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                for deformation modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, or a 
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                the German Public Service Scheme. The contract will start as soon as possible and will initially be restricted to three years. A tenure track will be subject to personal performance. After a successful tenure 
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                the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission 
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                . The aim is to explain experimentally observed metastable behavior and to identify strategies to minimize or control such effects. The simulations are performed on the JURECA high-performance computing 
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                The Data Integration in the Life Sciences (DILiS) research group at the Institute of Computer Science at Freie Universität Berlin is headed by Katharina Baum. We primarily investigate and develop 
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                dynamics of these devices to perform complex learning tasks with extreme energy efficiency. Your Job: Develop and apply meta-optimization that can automatically search for the best algorithm-hardware pair 
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                research along the entire semiconductor value chain and on tailor-made synthetic diamonds. Whether high-frequency circuits for communications technology, voltage converter modules for electromobility, laser 
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                . Whether high-frequency circuits for communications technology, voltage converter modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum 
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                ferroelectric hafnium oxide, focusing on achieving high performance and integration efficiency. RF/mmWave network simulation: You simulate RF/mmWave networks operating within the 10 GHz - 110 GHz frequency range