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Field
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systems, gas networks, or coupled multi-energy systems Proficient in programming, especially in Python; experience with C/C++ is an advantage Interest in scientific software development, large-scale
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., PTRwid or PTRViewer, or similar software), as well as experience in programming, command-line environments, and statistical analysis (e.g., R, Python, or related tools). Experience with metagenomics (e.g
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Qualifications Ph.D. with a focus in health policy, public health, demography, geography, sociology, or a closely-related discipline Experience using STATA data analysis software Experience with HCUP (Healthcare
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addition to using experimental wet-lab tools, we also develop software tools to identify novel hormones and receptors by running AI models (e.g. AlphaFold) on large-scale at high performance data centers
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systems and stabilization, and experimental electronics and control software Demonstrated experience in the design and implementation of optical systems for trapping, imaging, and addressing single atoms
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, linear mixed models, structural equation modeling, multilevel models) You are proficient in using one or more common statistical analysis software packages (R, SPSS, Mplus, Python, etc.) You have a very
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of statistical software (R, SAS, or STATA). Skilled in scientific writing and communication. Ability to work independently and as part of a team. Ability to meet deadlines and manage multiple projects. Data
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transcriptomics. He is the lead developer of widely used open-source software including BayesPrism, a Bayesian deconvolution framework selected as a Nature Cancer 2022 highlight. Dr. Chu's research has been
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of Excel & Statistical analyses using software packages like SPSS or R ● Experience with Interdisciplinary collaboration across multiple academic and clinical departments ● Strong publication history
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
writing (manuscripts) and speaking (seminars, presentations) to both specialized and broad audiences. Data analysis and statistics: Proficiency with statistical software (e.g., GraphPad Prism) and strong