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Field
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understanding of current AI techniques and approaches including supervised and unsupervised machine learning, symbolic AI, and generative AI (including large language models) [technical understanding of one
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. Proficiency in integration of molecular profiling data including transcriptomic, proteomic, and genomic datasets. Experience using R-programing language for interpretation of large multi-omic data sets
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linguistic competence and sensitivity in all activities and interactions with colleagues, partners, and project participants. Conceptualize problems and identify questions in public health research and
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to Core Level, Infrared, and Raman Spectroscopy. Language can be anything of the candidate’s preference, such as Python, Fortran etc. Leverage observations from in-the-house core-level spectroscopy, i.e. X
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community partners to test and validate these assessments with children from diverse language, racial/ethnic, and socioeconomic backgrounds to ensure that tasks yield information that is equitable and
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California State University, Northridge | Northridge, California | United States | about 15 hours ago
, culture, gender, gender identity and expression, sexual orientation, socioeconomic status, religion, spirituality, ability differences, age, national origin, immigration status, language) Demonstrated
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programming language appropriate for analysis of large datasets, preferably Python. Interest in performing research that engages with and supports policymaking and governmental investment decisions
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language for data analysis and familiarity with machine learning approaches for data analysis. Notes: For full consideration, please apply by January 5, 2024. Application for this position should include a
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) develop cultural competencies (via events organized by the Race, Inequality, and Language in Education program and the initiative on Learning Differences and the Future of Special Education) gain