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of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum
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particularly value experience in artificial intelligence, machine learning, and data-driven systems as well as strong programming and modelling skills (e.g., Python, PyTorch, MATLAB, or R). Experience in process
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excellent study records in Electrical Engineering, Electronics, Microelectronics, Computer Engineering, or a closely related field, completed by the start of the position Have a solid background in digital
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
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optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four
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Trustworthy Artificial Intelligence: Research on privacy-preserving collaborative machine learning, trustworthy and explainable AI, distributed intelligence, and condition monitoring for industrial and energy
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element analysis Laboratory and field-based structural testing and data acquisition Direct and indirect sensing methods for bridges, including remote sensing techniques Machine learning and artificial
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, Python-language and scripting as well as Linux and HPC environments. Previous experience in model evaluation, statistical data analysis, and machine learning are seen as advantages. The position involves
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experience in model evaluation, statistical data analysis, and machine learning are seen as advantages. The position involves attending international conferences and presenting scientific or technical work in
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of different situations in the ancient past. As a doctoral researcher, you will be part of a multidisciplinary research group consisting of computer scientists, software engineers, archaeologists, cultural