133 big-data-and-machine-learning-phd Postdoctoral research jobs at The Ohio State University
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experiments or existing data. In this research, the Post Doctoral Scholar may employ recent interpretability methods such as causal interventions, dictionary learning and circuit analysis, but other kinds
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and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning Technologies, Human-Computer Interaction, or a related field
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Required Qualifications: PhD or DMA in computer music, music technology, composition, music theory, music cognition, sound studies, or a related field (ABD accepted with degree in hand by start of
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Technologies, Human-Computer Interaction, or a related field. Required completion of PhD prior to start date. Desired Experience: Experience conducting research related to artificial intelligence in education
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requirements. Required Qualifications Ph.D. in Electrical and Computer Engineering, Computer Science Engineering, Biomedical Engineering, Integrated Systems Engineering, Mathematics, Statistics, or equivalent
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reporting requirements on AI for Health research and projects. Required Qualifications Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering
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time of hire is required, along with a strong theoretical or practical background in statistical mechanics, quantum dynamics, or Machine Learning. Demonstrated experience operating and maintaining a
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, weekends and/or holiday hours. Additional Information: Minimum Requirements: Graduation from an accredited college or university with a PhD in one of these fields of study: Immunology, Microbiology
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental