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02.05.2022, Wissenschaftliches Personal Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how the complex organism-scale behaviour in the slime mould Physarum
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disciplines: computer science/engineering or biomedical engineering. You have an excellent academic record of accomplishment. In particular, you have a good command of, and a strong interest in, computer
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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order to better understand, plan and assess different types of market interventions to achieve energy efficiency – see this research program including also Dr James McGregor (CSIRO); Dr Aneta Podkalicka
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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21.12.2021, Wissenschaftliches Personal The Department of Computer Science, Technical University of Munich, has a vacancy for a PhD candidate/researcher position in the area of efficient algorithms
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. To email your CV and cover letter or for more information please contact, A/Prof Paige Little , Research Director, QUT Biomechanics and Spine Research Group. About the scholarship The Clayton Adam Florence
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internationally. Job profile You hold a Master’s degree in computer science, electrical engineering, (technical) cognitive science, Human-Computer Interaction or areas relevant to the research topic (for example
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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are necessary to complete the task. If you hold a diploma or Master's degree in Computer Science or Engineering, possess a sound knowledge of applied informatics and want to join a highly motivated research group