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Field
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years, practitioners and researchers have realized that predictions made by machine learning models should be transparent and intelligible. Although explainable AI methods can shed some light on the inner
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novel materials, tools, or artistic creations, humans instinctively explore the unknown in order to acquire information about it, to make sense of it, to act on it, and to appreciate what is in front of
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professional network among researchers, artists, and museum specialists. A typical day may include filming a ceramist at work, conducting an interview about the style and technique, or analyzing how museum
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of expertise in fundamental research on condensed matter, ranging from topics such as Quantum Materials / Electronic Structure & Quantum Many-Body Theory / Nanoscience / Solid State Spectroscopy / Solid State
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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foundational theory and real-world impact. Consortium This position is part of a European Doctoral Network consortium REUNATECH- NATECH Risk Management and Resilience of High-Tech Industries and Critical
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Infrastructure? No Offer Description The Department of Physics is located in the AlbaNova University Center and has approximately 240 employees, 250 students at undergraduate level and 90 graduate students