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Field
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customer service Ability to support various constituencies served by the University Proven proficiency with computers including Microsoft Office, Google, and/or applications as required for specific position
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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Postdoctoral Associate- Artificial Intelligence Innovation Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science, Electrical and
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant
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, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students, postgraduates, and faculty to participate in programs, projects, and activities at the Department. Fellows will
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Science or equivalent, with 3 years’ related work experience, or a Ph.D. degree in a relevant discipline; (ii) solid statistical and computing skills; (iii) effective communication skills in both written
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Postdoctoral Associate- Artificial Intelligence Innovation Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science, Electrical and
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independent work but demands a comprehensive understanding and knowledge of climate dynamics. The candidate should have experience of statistical (multivariate) concepts and should be open to apply new and