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candidates should have a strong background in computer science, parallel computing, compilers, performance optimisation, and high-performance computer systems. Excellent knowledge of C and C++ is
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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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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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nanocrystals, quantum dots, or other nanoscale materials Machine learning Scientific programming and quantitative data analysis Prior experience with every technique used in the project is not required. The
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Scientific programming High-performance computing Prior experience with every method used in the project is not required. The successful candidate should, however, have a strong quantitative foundation