78 parallel-programming-"NTNU-Norwegian-University-of-Science-and-Technology" positions at ETH Zurich
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(master's level or above) or equivalent, in Computer Science, Software Engineering, Computational Science, Physics, Astrophysics, or a related field. Programming Skills: Proven proficiency in programming
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such data; hands-on experience in scaling up and/or parallelizing codes on HPC systems using languages such as e.g., C/C++, Fortran, Python; solid knowledge of parallel programming models (e.g., MPI, OpenMP
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programming in Julia or a strong willingness to learn Strong English speaking and writing skills Able to work well in a team Heliosphere / plasma science, cosmic dust science, astrodynamics Parallel processing
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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: program surveys in Qualtrics; create documentation such as questionnaires, codebooks and technical reports; support the teams with data analysis and reporting to third party stakeholders such as SBB or AMAG
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The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster
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the possibility of extension to two years (covering the potential full duration of your study programme). Profile Essential: You are enrolled at a Swiss university (final year of a bachelor’s programme or early in
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the future your field of activity might also include application of our cutting-edge Simulation environment Software MORe www.more-simulations.ch. Your Tasks Plan and perform experiments (DoE) in a laboratory
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ideal for students with strong technical and organizational skills, particularly those with experience in LaTeX and Python programming. Some background in economics is a plus but not strictly required
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-current-actuated regulation, electromagnetic programming of wireless expression, andclosed-loop systems, we aim to translate these technologies into clinically relevant, minimally invasive therapies