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programming work (if available) Further information about the ETH AI Center and the Swiss AI Initiative can be found on our website . Questions regarding the position should be directed to Dr. Imanol Schlag
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applications You have good programming skills for image processing, image analysis and/or hardware control. You are eager to learn, can work independently and have a creative and solution-driven mindset
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analysis, and multi-modal integration is a strong asset (e.g, connectivity analysis). A proven track-record in current flow modeling (SIMNIBS) for TMS and/or tDCS. Skilled in programming (Python, MATLAB, R
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programming in Python, and comfortable working with version control (git) in a collaborative codebase Fluent, critical use of AI-assisted tools in research and code development, we treat these as part of
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of the research areas above, ideally including work on real hardware The ability to lead research independently and the motivation to mentor students Strong programming skills; experience with robotics
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record Strong quantitative and analytical skills Experimental laboratory experience (e.g., biomedical engineering, neuroscience, chemistry, optics, electrophysiology, or related fields) Programming
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and spoken English and enjoy collaborating with researchers from different backgrounds. Experience with high-performance computing, scientific programming and/or quantum-computing frameworks is highly
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empirical research addressing relevant economic and public-policy questions An interest in applied macroeconomics and/or political economy Experience with at least one statistical programming language
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quantitative and analytical skills, incl. programming (Python, MATLAB, or similar) Experimental laboratory experience in drug formulation, nanoparticle/microbubble synthesis, colloid chemistry, or related
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systems programming and real-time control (e.g., LabVIEW, Simulink Real-Time, ROS, C/C++, STM32); analog and digital PCB design; machine design and prototyping (e.g., CAD modelling, 3D printing