53 affective-computing-"https:" "https:" "https:" "UCL" research jobs at Pennsylvania State University
Sort by
Refine Your Search
-
on the species where they can have the greatest impact. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies
-
REQUIREMENTS The Office of Technology Transfer (OTT) is inviting candidates with an interest in technology commercialization to apply for an opportunity to join a one-year paid fellowship program called The Next
-
). Requirements, qualifications, and/or competencies: - Currently enrolled in a graduate program in Computer Science, Information sciences, Cryptography, Security, or a related field or undergraduate having
-
competencies: Currently enrolled in a Masters/PhD program in Robotics, Computer Science, Public Policy/Law or a related field. Strong background in Robotics or Human-Robot Interaction Compensation: The starting
-
including, but not limited to, those studying regulation of the master kinase mammalian target of rapamycin (mTOR), the impact of post-translational modification (i.e., phosphorylation and O-GlcNAcylation
-
REQUIREMENTS Penn State University Park Industrial Engineering professor is seeking Penn State students to work as part-time research assistants. The research project is to examine the impact of teaming
-
who have an interest in research or creative activities are encouraged to apply! Candidates must be highly motivated, have a high potential to contribute to research activities, and have basic computer
-
in clinical informatics. This internship is ideal for someone with strong analytical and technical skills who is excited to work at the intersection of machine learning, healthcare data, and
-
more likely in some locations, including the USA’s Mid-Atlantic region. Baltimore, MD, is regularly impacted by flooding, which damages property, disrupts transit, and affects peoples' livelihoods
-
collecting Windsond observations on selected days, downloading and analyzing observational field program data from NCAR and the DOE ARM program, working with WSR-88D observations to calculate quasi-vertical