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of the following areas (please address these in the cover letter): Machine Learning, Computational Simulations (e.g., CFD, FEA, etc.), domain expertise in Engineering problems, familiarity with High
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-applications in the field of engineering. You would like to deepen your abilities in the demanding field of production engineering. You have experience programming Python including git. You have a very good
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experience CH/EU/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in engineering, mechatronics, computer science, or a related field Experience in machine learning, signal
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degree in physics, computer science, mathematics, computational neuroscience, or related fields. Extensive knowledge of dynamical systems theory. Excellent programming skills in Python. Previous experience
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. Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science (data science, computer science, economics, social sciences, etc.) Experience programming in R
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100%, Zurich, fixed-term The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP81 project
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, 20250301_DoeJane_application) in the following order: Cover letter detailing your research motivation, interests, and experience Curriculum Vitae (CV) Academic transcripts of all degrees in English (Bachelor's and Master's
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(Bachelor's and Master's) Three professional reference contacts, including an email and a direct phone number to reach them A publication or thesis work sampling your academic reasoning and writing Please note
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expertise in material science, engineering, and computing. The lab focuses on sensing technologies for electronic textiles, with applications in sports and health. To strengthen its operations, the BMHT Lab
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Information Technology, Statistics, Signal Processing, or Computer Science (or a related field). Also, strong software development and programming experience is a must. Fluency in the English language is highly