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Field
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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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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative and autonomy to conduct fieldwork. Application Documents
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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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Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python • Experience with analysis of single-cell sequencing data • Familiarity with spatial
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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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: 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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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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. R, Stata, Python, or similar). Skilled in writing and/or contributing to high-quality manuscripts for submission to peer-reviewed journals. Demonstrated ability to independently manage research tasks
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, Artificial Intelligence, Neural Networks, Computational Biology, Bioinformatics, Biomedical Informatics or a related field. Programming experience in a language such as Python or R. Experience in writing grant