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of advanced wind turbine components. Experience in one or more of the following areas will be considered highly advantageous: Scientific programming in Python or MATLAB Probabilistic methods, Bayesian inference
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Abilities: Demonstrates expertise in chemical degradation and stability of organic materials Experience in computer programming using a high-level language such as MATLAB, Python etc. Critical eye towards
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(https://atomicfilmslab.org) and will work closely with the computational, device, and simulation teams, as well as with the education and mentorship teams comprising ASWESOME. This position will inform
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grade background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme: https
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of relevant scientific programming language(s) (e.g. MATLAB, Python) Essential Application Experience using the Ice Sheet and Sea Level System Model or similar numerical ice flow models and/or Experience using
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– Engineering Graphics ESC 170 – Computing for Engineers ESC 222 – Electrical Circuits ESC 240 – Engineering Design Full course descriptions may be found here: https://www.flcc.edu/courses/ This position is part
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Master’s degree, if applying for the Research Associate rank. A strong background in mathematics and programming (e.g., Python or MATLAB). A strong publication track record. Excellent analytical and research
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of brain function, they aim to provide insight into neurological disorders such as Parkinson's disease and autism. More information about the lab team and their work can be found by visiting https
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excess of $1B. Primary Purpose of the Organizational Unit The Department of Kinesiology (https://kin.uncg.edu/ ) has 27 full-time faculty in the sub-disciplines of Applied Neuromechanics, Athletic Training
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
ImageJ, Origin, GraphPad, MATLAB, SolidWorks, and BioRender. The ideal candidate will have experience in design and development of translational biomaterials that can be applied to address real-world unmet