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. Collect, manage, and analyze data Record experimental procedures and observations. Conduct routine statistical analyses as needed (e.g., summary statistics, t-tests/ANOVA) and generate plots, tables, and
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. Lab Research: • AI-Driven Algorithms & Software: Develop deep leering/machine learning/statistical based algorithms to elucidate lncRNAs, fusion transcripts, RNA modifications, and circular RNAs in
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Basic data analysis and processing skills Statistical analysis knowledge and expertise MS Excel, MS Access, SQL, SAS Python, web-scraping and NLP Any programming experience is a plus Willingness to learn
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/ *This position is fully paid and visa may be arranged Basic Qualifications • Bachelor’s or master’s degree in economics, mathematics, statistics, computer science, or related fields • Strong quantitative and
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of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University’s campuses. These reports
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Postdoctoral Benefits page.) CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State
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Science, or a closely related field Prior coursework and working experience in data science, machine learning, statistics, or related areas Proficiency in Python for data analysis and modeling, machine learning
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/trait data) Conducting statistical modeling, feature selection, and predictive analytics for forest health, resilience, and biomass estimation Supporting data preprocessing, cleaning, normalization, and
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statistical analysis. Conducts literature reviews and perform research. Uses subject matter and best practices knowledge to perform lab and/or research-related duties and tasks. Work independently to assist
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics