1,537 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs
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reports, training or educational workshops, and/or mass media publications. Fellows will also be expected to teach at least one course at the undergraduate and/or master's level in support of I-GMAP's
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techniques, microscopy, immunohistochemistry protocols and protein biochemistry. Certificates/Credentials/Licenses N/A Computer Skills Basic Word and Excel software knowledge as well as proficiency with
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techniques, microscopy, immunohistochemistry protocols and protein biochemistry. Certificates/Credentials/Licenses N/A Computer Skills Basic Word and Excel software knowledge as well as proficiency with
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experiential learning courses, as well as contributing lectures to core plant pathology courses that support required and elective curricula in the Undergraduate Program in Plant Science and Graduate Program in
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simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical
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willing to work in a collaborative environment. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high
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household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 2 months ago
Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f/m/d) on Generative AI
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at interdisciplinary conferences alongside a team of psychologists, historians, and computer scientists. What do you have to offer Must-have: You have completed a PhD in psychology, computational social science
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clustering, redshift-space distortions, weak/strong gravitational lensing, and artificial intelligence/machine learning (AI/ML). The observational focus is on optical sky surveys (DES, DESI, Roman, Rubin Obs