12 parallel-programming-"https:" Postdoctoral research jobs at ETH Zurich in Portugal
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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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platform , published in Nature Communications (https://www.nature.com/articles/s41467-020-18059-7), that enables localized, hyper-efficient delivery of therapeutic compounds to specific brain regions
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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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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
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& Programming: Proven capability in developing physics-based numerical simulators and models of thermal-fluid or power plant systems from governing equations, implementing them in scientific/engineering
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scientific programming and data-analysis skills, preferably in Python, R, MATLAB, Julia, or a comparable language Ability to critically evaluate model assumptions and integrate evidence from