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with z-Tree, oTree, and Python. Running computerized laboratory, online, and field experiments. Recruiting, training, and supervising undergraduate research assistants Performing research duties (e.g
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
-Experience designing, training, and evaluating deep learning models in Python (PyTorch preferred), beyond applying off-the-shelf pipelines -Hands-on experience with transformer and/or convolutional
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for microscopy, spectroscopy, interferometry, or quantum-optics experiments. Experience acquiring and analyzing experimental data using Python, MATLAB, LabVIEW, or comparable scientific software. Preferred
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Research Assistant Ability to work well as part of a team and rapidly acquire new skills Handling large experimental datasets using Python or R and the ability to apply these skills to simulate
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science, spatial analytics, or a related field; experience with diverse spatial analytical methods; strong programming skills (e.g., Python) and version control (e.g., GitHub); experience working with multi
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hold a Ph.D. in materials physics or scientific imaging, with proven experience in spectral imaging techniques (e.g., software such as Python, R, HyperSpy) and/or synchrotron techniques (luminescence, UV
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-omic data integration. Computational skills for data analysis (e.g., Python/R, workflow tools, and reproducible research practices). Prior work related to neurodevelopmental disorders, regulatory
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housed in the Department of Physics at Drexel University. This position is grant-funded; employment is contingent upon the continued availability of those funds. Essential Functions Write python code
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optimized for single-molecule mechanical manipulation. Develop, refine, and implement automated data analysis pipelines using Igor Pro (or MATLAB, Python). Mentor graduate and undergraduate students within
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experimental physics, nanofabrication, low temperature measurements, THz optics, Python programming would be an asset. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR2940-ELOBER-173