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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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, computational musicology and music theory, music cognition, spatial/immersive audio, generative music systems, human-computer interaction, machine improvisation, musical robotics, and/or new interfaces
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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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ability/proficiency/excellence computer software, equipment operation, or research technical skills. Desired Qualifications: Experience in research with flow cytometry, animal models, cloning and expression
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conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples, including recombinant proteins and
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cytometry and cell sorting. Collect, prepare, and analyze research data; keep a detailed notebook summarizing experiments and recording research data; maintain computer database of research data; tabulate and
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environment with standard laboratory conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples
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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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computer or microscope; frequently stands to perform bench work; occasionally lifts objects up to 20 lbs (e.g., reagent boxes); requires visual acuity to perform microscopy and analyze data. Location
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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