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, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. Qualifications PhD in Computer Engineering
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and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices. Support grant applications
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(DNP or PhD) This position requires a formal degree in the cited discipline area(s) to ensure that candidates have the foundational knowledge and skill set required to perform the duties of the position
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to conduct his own research projects if the scientific scope is compatible with the ERC ATTRACTE (modulo machine time). This position is funded by the ERC Starting Grant ATTRACTE project (2023-2028, PI: G
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substantive subfields. Qualifications Candidates must have completed all requirements for the PhD degree prior to the start of the appointment. Application Instructions Applicants must apply at the University
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the following items with the application: Resume/CV PhD (if applicable), Masters, and Bachelor’s unofficial transcripts At least 3 professional references (be sure to include phone numbers and email addresses
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experience, 15+ years of graduate level educational research and current state-of-the art computer experience. City: Piscataway State: NJ Location: Piscataway (RBHS) Create a Job Match for Similar Jobs About
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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candidates holding a PhD degree in Computer Engineering, Data Science, Computer Science, Electrical Engineering with a strong computational background, or related scientific areas. Proven research experience
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/ PhD in psychology, behavioral science, nutritional science, public health, human-computer interaction, or a related field. Experience with relevant research methods (e.g., conducting Ecological