208 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" "Dr" positions at Pennsylvania State University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
skills are essential. Applicants must complete the Penn State application and must submit an application through https://www.mathjobs.org/jobs/list/28086 ">mathjobs.org. BACKGROUND CHECKS/CLEARANCES
-
routes from Baltimore, Philadelphia, Washington DC, and New York, and Harrisburg International Airport is located within minutes from campus. To learn more about the college please visit http
-
. For more information on the PN Program, please visit https://dubois.psu.edu/pn-program-practical-nursing . BACKGROUND CHECKS/CLEARANCES This position requires the following clearances in
-
should apply to take our tutor training course at https://pennstatelearning.psu.edu/writing-tutor-application. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion
-
. Additional Information Applicants must complete the Penn State application and must submit an application through https://www.mathjobs.org/jobs/list/28088 ">Mathjobs.org (mathjobs.org) with the following
-
and must also submit an application through Mathjobs.org (https://www.mathjobs.org/ ) with the following materials for the application to be complete: • Cover letter • Curriculum Vitae • Teaching
-
artificial intelligence, machine learning, deep learning, natural language processing, and generative AI, as well as emerging areas such as agentic AI systems, low-code/no-code AI platforms, and responsible AI
-
of applications will continue until the position is filled. Apply to REQ_0000074344 at https://hr.psu.edu/careers . Inquiries about the position may be directed to Dr. Christopher Gorski, Search Committee Chair
-
still apply. I’m interested! How do I apply? Submit the following to https://hr.psu.edu/careers: 1) A complete application 2) Resume containing past work history or related positions/experiences 3) A
-
questions and pertinent datasets, fitting and assessing models to the acquired data, performing simulations to test model assumptions, interpreting results, managing datasets and code workflows, communication