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mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
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, target recognition and shape estimation, data association, as well as intention prediction, beyond the state of the art. In order to support machine learning, the project will make use of historical radar
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detrimental interactions. To embed grid support functionalities aimed to ensure stability and improve power quality into control algorithms and energy management strategies of the target isolated power system
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adapted to the relevant target group. Preferred selection criteria The candidate should have experience with state-of-the art Electronic Design Automation and Electronic System Level tools for ASIC, FPGA
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writing. Structured, targeted and solution-oriented. Creativity and innovation in research. Scientific mindset. Emphasis will be placed on personal qualities. We offer Developing tasks in a strong and