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electronics (with experience with soft materials, microfabrication and multimodal data processing) are highly welcomed Proficiency in oral and written English, circuit design, and a programming language Team
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and workflows (e.g., Hugging face, Keras, Torch, etc) Research experience in conducting end-to-end experiments and academic writing. Experience writing Python programs and using developer tools (e.g
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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should show interest in the topics of the research program. The preferred candidate has demonstrated her or his potential to conduct high-quality research, ideally by having some papers under revision
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areas like programming languages, algorithms, and theory. INSAIT is structured similarly to top U.S. and European research institutions and provides exceptional working conditions, in terms of facilities