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Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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Your Job: You will support IAS-9`s data science and machine learning activities, working in a multidisciplinary team of enthusiastic data scientists, software developers, and domain scientists. Your
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. The current project deals with the use of machine learning / artificial intelligence and big data science in the field of synchrotron research. Development and application of machine learning / artificial
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specializes in integrating machine learning techniques with circuit QED theory to identify optimal regimes for hardware control and development. With their exceptional skills in device modeling, the team
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the potential to apply these methods to different domains. Specifically, you will: Develop, implement, and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large
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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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science or related fields Proficient programming skills in Python Good experience with Docker software Basic knowledge of IoT platforms and communication protocols Basic knowledge of machine learning algorithms
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) Familiarity with machine learning and deep learning frameworks (e.g., PyTorch) Experience with HPC systems is a plus Ability to work independently and as part of a team Experimental enthusiasm is a must! Please
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Your Job: In this position, you will be an active part of our Simulation and Data Lab Applied Machine learning. In national and European projects, you will develop new, innovative applications
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dynamics of energy materials on the atomic and mesoscopic scale using neutron methods, complementary X-ray experiments and support of further techniques including computer simulations Synthesis and