203 proof-checking-postdoc-computer-science-logic positions at University of California Irvine
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
to administer the property and evidence program activities by performing a variety of technical and specialized duties involved in timely receiving, processing, storing, safeguarding, delivering, releasing, and
-
campus policies and procedures; resolves a wide range of issues. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. What It Takes to be Successful Required: Computer
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Jun-25 Location: Irvine, California Type: Part-time Categories: Academic/Faculty Computer/Information Sciences
-
to monitoring and constructive feedback from supervisors to improve quality of interviews and interviewing techniques. Ability to use a computer tablet. Able to interact effectively with a diverse range of people
-
of California, Irvine, invites applications for Postdoctoral Scholar position. The lab seeks outstanding Ph.D. or M.D., Ph.D. applicants with strong academic backgrounds in computer science, biomedical
-
committed team of professional staff dedicated to helping our faculty, graduate students, postdocs, and laboratory staff achieve their professional success. We are committed to ensuring excellence through
-
campus policies and procedures; resolves a wide range of issues. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. What It Takes to be Successful Required: Computer
-
for admission, and taking into account a variety of requirements. Recommends improvements / modifications to the program. What It Takes to be Successful Required: Thorough knowledge and experience working with a
-
knowledge of medical terminology. Ability to understand and adhere to established appointment scheduling guidelines. High level of skill entering data into computer while talking to patients. Must possess
-
Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and