66 web-programmer-developer-"https:"-"UCL"-"U" "https:" research jobs at Pennsylvania State University
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time Research Assistant/Programmer to assist with robotics and machine learning research as well as data collection and data
-
, and adapt to ever changing needs. Strong track record of technical leadership, program development, and manufacturing equipment acquisition, training, and operation. Ability to effectively communicate
-
undergraduate program (e.g., Education, Human Development, Psychology, Mathematics, or Statistics) Successful completion of CITI Training Commitment to working 10 hours/per week between the hours of 10 am to 4 pm
-
of Medicine, 500 University Drive, Hershey, PA 17033, E-mail: juh13@psu.edu, Web: https://pure.psu.edu/en/persons/jianming-hu . The post-doctoral scholar will perform sophisticated experiments to study the
-
skills in analytical chemistry method development (e.g., HPLC-MS/MS, GC-MS/MS). Interested applicants with a range of clinical and laboratory-based skills and doctoral degrees will be considered
-
-tenure track, term, Postdoctoral appointments are committed for three years with a contract renewal occurring each year. Duties for this position include research and teaching. The Chowla program is
-
the university's teaching, research, and service mission. Apply online at https://psu.wd1.myworkdayjobs.com/PSU_Academic/job/Penn-State-University-Park/Postdoctoral-Scholar---Quantum-Systems_REQ_0000072468-1 CAMPUS
-
REQUIREMENTS The Department of Astronomy and Astrophysics is seeking applicants for the part-time job of Research Assistant. The McEntaffer research group in the Department of Astronomy & Astrophysics (https
-
with sex and gender. The post-doctoral scholar will be expected to help support management of ongoing projects and develop their skills through independent research and mentorship. They will plan
-
the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop computationally efficient reduced-order