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Field
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machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical
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. Additional Skills (Preferred): Experience with environmental data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative
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Photon Routing using Photonic Crystal Cavity Phase Shifters . in CLEO/Europe-EQEC, CI-1.5 (2023). [Heuck2023b] Heuck, M., Englund, D. R. & Jacobs, K. Efficient, high-speed two-photon logic gates at room
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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."The fellowship offers a monthly stipend of R$ 12,000.00 for an initial period of 12 months, with the possibility of renewal for an additional 4 months. A 10% technical reserve is also provided. The position
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 15 hours ago
: Doctorate in Oceanography, Meteorology, Statistics, or similar field. Required Knowledge, Skills & Abilities: Fluent in one or more programming languages (python, Julia, or possibly R) Able to perform
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Jefferson Laboratory (JLab ), and Simulation studies & R&D for the future Electron Ion Collider (EIC ). For more information, please visit the PI's website or the group's nuclear-experiment website
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skills for this position. Specifically, the PA will use generalized additive mixed-effects models to analyze data from existing and ongoing projects. Fluency with the R programming language is essential
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: Prof. Wei Wang), China, and her PhD from UC Berkeley, where she worked on COFs and MOFs under Prof. Omar Yaghi. She then completed postdoctoral training at Caltech in Prof. Michael R. Hoffmann's group
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qualitative data analysis, case study development, survey design, administration, cleaning, and statistical analysis. Ability to use statistical analysis packages (e.g., SPSS, MPlus, or R) for data analysis and