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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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to arts and technology.The wealth of learning resources available to UT Dallas students is the result of a concentrated effort to attract the top minds on both ends of the classroom relationship
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, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a
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) Cleaning and managing large datasets from administrative data sources or online learning platforms Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML) Learning
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expression analysis, molecular and cell biology, confocal and two photon imaging, in vivo gene delivery amongst other techniques, and aptitude in working animal models. Where to apply Website https
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and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity. Where to apply Website http
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https
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Europe/H2020 or similar) Specific Requirements The role involves working at a desk in front of a computer, with occasional travel within Europe (Prague in October 2026, Barcelona in March 2027
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(e.g. Python, Julia), You have an interest in, or experience with, machine learning approaches for scientific data analysis. You have a strong interest in interdisciplinary research and enjoy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
of patient care, education, and research. We strive to promote faculty, staff, and learner development in a diverse, respectful environment where our colleagues demonstrate professionalism, enhance learning