1,462 programming-"https:"-"https:"-"https:"-"IFM"-"IFM"-"IFM" Postdoctoral positions
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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 6 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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, analysis, and program support across these focus areas, gaining exposure to federal energy finance, public-private partnerships, and cross-agency collaboration. The U.S. Department of Energy’s Office of
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software programs including Microsoft Office (Word, Excel, PowerPoint) · Knowledge of computer programming/scripting (e.g., Matlab, Bash/Unix) · Knowledge and experience using image/EEG
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• Design, plan, and execute experiments with the Principal Investigator • Coordinate ongoing research efforts and analyze/interpret results • Download, preprocess, postprocess, and statistically analyze
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program. We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events
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partners, or translational research teams. Experience with Quarto, Python, and/or other programming languages. Experience and interest in data science or informatics education. Experience with deep learning
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, or biophysical simulations. Demonstrated interest in biological systems, prior experience in biological modeling and in transcriptomic data analysis. Proficiency in programming (e.g., Python, R) and familiarity