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automation software (e. g. Hamilton Venus), scripting, or workflow scheduling (e.g. HighRes Cellario) and experience with standard programming languages such as Python, C++, Matlab or R Understanding of assay
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to help with participant recruitment Verify participant data daily to ensure collection is accurate and process data with MATLAB, Python, and R scripts as needed Prepare and maintain IRB materials, ensuring
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must have skills and previous experience in non-Newtonian fluids mechanics, OpenFOAM, and programming languages like C++ and MatLab. 8. Recruitment method: In accordance with articles 26
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Project Officer (Civil Engineering/Materials Science/Mechanical Engineering/Construction Technology)
schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Project Officer to support the research, development, and implementation of 3D construction
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. Experience with relevant software tools (e.g. Abaqus, ANSYS, MATLAB, Python) and an interest in developing industry-ready research tools are strongly encouraged. Conducting high-impact research in composite
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salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs
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. A minimum of two years of employment as a research assistant. Fluency with Stata. Fluency with Python. Familiarity with Matlab. Preferred Competencies Knowledge in relevant scientific field. Problem
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year experience in training laboratory animals Willingness to work as part of a team Basic computer skills (MS Office, Google Docs/Sheets/Slides, etc.) Preferred Qualifications: Highly Preferred: MATLAB
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programme Reference Number AE2025-0605 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0605
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data science. Scientific writing skills and first journal publications Experience in programming (e.g. Python, MATLAB) for experiment control and data analysis is advantageous. Self-motivated, organized