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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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disciplines with PhD Extensive knowledge of machine learning/artificial intelligence and big data science Extensive knowledge of programming languages (ideally Python) Basic knowledge of synchrotron research
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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
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, free energy calculations, machine learning/deep learning, Markov State Models, docking Your Profile: Master degree in the field of Biology/Physics/Chemistry or related High motivation and interest and/or
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, programming, electronic lab journals, machine learning Intrinsic motivation to show initiative, creativity, and to work independently Excellent cooperation and communication skills and ability to work as part
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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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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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on large scales Strong programming skills, preferably in C++ Some knowledge of Fortran, Python and Julia is an asset Some background knowledge in Machine and deep Learning is an asset A self-motivated