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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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action: Assessing policies and solutions for energy, water and infrastructure”, as part of the ETH-Joint Initiative funding program. Requirements: In order to qualify for the position, the candidates
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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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, ambitious team you will also have the chance to collaborate, coordinate and support graduate students, apply to competitive research funding programs and collaborate with other labs and industrial partners
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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
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early 2025. Excellent academic track record, with a strong background in machine learning methods and biogeochemistry. Programming experience using languages such as Python, R, etc. You are self-motivated
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in programming, particularly in Python, is essential. Fluency in English (written and spoken) Strong collaboration and communication skills Workplace Workplace We offer Opportunities to engage in