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The Learning Machines group seeks motivated PhD students to join our team working on learning in physical systems. What are learning machines? Imagine your favorite artificial intelligence machine
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that are relevant for semiconductor manufacturing and uses tomographic techniques in combination with inverse design and machine learning tools. The aim is to determine the possibilities and limitations of the use
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dynamics of cells that remains invisible with other techniques. You will develop AI training and inference approaches using our unique multi-parameter data-sets and extensive Machine Learning expertise
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