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, Robotics, or related field requirements for the position: Solid knowledge of machine learning, particularly for time series analysis and event detection Solid programming skills in C#, C++, or .NET-based
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, or materials science. Background in solid-state physics and a demonstrated interest in experimental research. Programming for scientific simulations. Proficiency in oral and written English. Additional assets
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
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plan to demonstrate the results on custom-built real-world 3D printing setups available at IfA and inspire. For a large-scale proof of concept, we will implement the results on a testbed combining
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integration Experience with programming languages and exposure to real-time imaging analysis Strong teamwork and communication skills for interdisciplinary collaboration *Applicants who do not fully meet all
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proteomics approaches for the analysis of post-translational modifications (e.g. phosphorylation, ubiquitination), or MS-based spatial proteomics. Basic programming skills and glycoproteomics experience
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We are supported by the Wyss Zurich Translational Center (Wyss Zürich), a unique accelerator program, which is embedded into ETH Zürich and University of Zürich and addresses the booming fields
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Programming experience (Python, MATLAB, or similar) Required people skills: Highly self-organized, structured, and motivated to explore new techniques Strong problem-solving mindset and willingness to tackle
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and quantitative science. Fluency in English, both verbally and written, and good communication skills are a must, as is experience with a higher programming language (e.g., Fortran, C, R, Python). You
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, and tree physiology. Willingness to travel and undertake extended fieldwork for data collection. Driving license. Experience in ecological data analysis and statistical programming (R or Python