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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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prominent approach to AI, with impressive performance in many application domains, including materials discovery. This development has a huge potential for societal impact, with applications in renewable
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at the forefront of the research field and advance it through experimental work, molecular annotation strategies and data analysis. You will work with state-of-the art instrumentation and have the opportunity
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, molecular annotation strategies and data analysis. You will work with state-of-the art instrumentation and have the opportunity to contribute with creative and innovative technical solutions to detect
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concepts, aerothermal turbomachinery design, and aeroacoustics. We have a strong national and European network and you will use and master both the state-of-the-art and novel numerical design tools at GKN
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of-the-art methods such as cryo-electron tomography
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of the-art methods such as cryo-electron tomography
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fabricate demonstrators in our state-of-the-art Nanofabrication facility and perform experiments in the terahertz characterisation facility (Kollberg Laboratory ). As a PhD student, you are expected
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while end users interact with them in a seamless manner without being aware of the state-of-the-art technologies involved, including cloud computing, IoT, and augmented/mixed/virtual/extended reality
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while end users interact with them in a seamless manner without being aware of the state-of-the-art technologies involved, including cloud computing, IoT, and augmented/mixed/virtual/extended reality