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machine learning-based software applications for materials science Develop code and utilize machine learning to support the automation of characterization and fabrication processes Ensure the integration
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Your Job: You will strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists
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Your Job: We are seeking a PhD candidate to join an ambitious European initiative aimed at revolutionizing the design and integration of energy materials for clean hydrogen energy technologies
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Your Job: One essential step towards the ramp-up is the identification of site-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant
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for an enthusiastic researcher who is quick to grasp new concepts and ideas and can solve complex problems with high-quality software solutions. You will work with machine learning, HPC, and domain science experts and
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Your Job: You will join the Simulation and Data Lab `AI and Machine Learning for Remote Sensing`, which aims to enhance visibility in interdisciplinary research between applications from remote
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overarching seminars including certificate The skills that you will acquire during your doctoral research are in high demand both in academia and in high-tech companies: at present, there is significant
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setting electrical measurements and analysis Interest and background in neuromorphic computation or machine learning is a plus Coursework and experience in machine learning and spiking neural networks is
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simulation software. Acquire knowledge about novel membrane materials and perform experiments required for model calibration. Establish multi-scale model family and extend CADET software for simulating
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(international) conferences and project meetings Participation in overarching seminars including certificate The skills that you will acquire during your Ph.D. are in high demand both in academia and in high-tech