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functions such as resilience and intelligence towards physical damage. We envision a class of sustainable robots that are not easily damaged, can self-heal from damage, can survive catastrophic failure, and
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required Experience with computational modeling of materials is advantageous Background in crystallography or solid-state physics is a plus Workplace Workplace We offer Your career with impact: Become part
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materials and devices based on nanoscale surface effects, utilizing a combination of experimental and computational approaches. We are looking for a highly motivated PhD candidate fascinated by quantum
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