231 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "PhD Jobs" positions at Pennsylvania State University
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apply online at https://hr.psu.edu/careers and include a curriculum vitae, a cover letter with a summary of relevant skills and experience and contact information for three professional references (name
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professional references (including address, telephone and e-mail address) to the Penn State Jobs system (https://hr.psu.edu/careers ; job requisition No. REQ_0000069211). System limitations allow for a total of
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College has an excellent educational system and offers many cultural events. To apply, please visit https://hr.psu.edu/careers and submit a letter of application documenting qualifications for the position
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flyers and making recruitment phone calls to families. Behavioral coding tasks include: Coding parent-child interaction tasks Completing CITI Training Utilizing Google Calendar, Slack, Canvas, and
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flight-dynamics codes to enhance modeling capabilities. Applicants should hold a Ph.D. in Aerospace Engineering or a closely related field by the hire date. Expertise in computational aeroacoustics
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experience in the following areas: Building system laboratory testing – including the design, setup, and execution of experimental studies involving building performance and control systems. Coding and AI
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. Ability to follow detailed written and verbal instructions without skipping steps. Optional Skills Knowledge of WCAG 2.2 accessibility standards. Basic coding familiarity. Awareness of copyright rules
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as per PA. CODE 231.85. Penn State does not sponsor or take over sponsorship of a staff employment Visa. Applicants must be authorized to work in the U.S. COLLECTIVE BARGAINING AGREEMENT This position
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interpersonal communication skills for presentations and writing papers, proposals and documents Preferred skills/experience areas include: Develop C/C++ or equivalent code to interface with developed hardware
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. The successful candidate may expect an average of 10 hours of work per week throughout the regular academic calendar. Job Duties Assist with data collection Assist with coding experiments Assist with building