321 embedded-system "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Columbia University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
at the Assistant Professor level. This is an outstanding opportunity to join a world-class academic medical center and contribute to innovative clinical care in a rapidly evolving subspecialty. Position Overview
-
/ Disability / Veteran Columbia University is committed to the hiring of qualified lo Create a Job Match for Similar Jobs About Columbia University Columbia University is one of the world's most important
-
nanolithography and 2D materials techniques. All applications must be made through Columbia University?s Academic Search and Recruiting (ASR) system. Please upload the following required materials: Curriculum Vitae
-
University is hiring a Research Staff Assistant to support the Yuste Lab in research activities such as animal colony, supply, equipment, and compliance. The incumbent will support the lab's research in
-
a globally-recognized academic research library, serving one of the world's most important centers of research and learning. The Libraries build, sustain, and make discoverable collections
-
medical center, or physician practice setting. Demonstrated experience supporting physicians or clinical leadership in a fast-paced environment. Proficiency with electronic medical records systems (EPIC
-
Qualifications NY State clinical laboratory technologist license is a plus, but the laboratory will train/sponsor otherwise. If training is required for the NY State clinical laboratory technologist license
-
Marketing Optimization & Integration, the Temporary Assistant Director, Digital Marketing is a critical member of the Office of Alumni Relations and Development (OAD) Marketing Strategy & Enablement team
-
by posting positions using applicant tracking systems (Talentlink/ASR*/Interfolio/Clear Company) in addition to posting on outside advertising sources. Assist with the recruitment of staff by posting
-
GPT-style APIs Experience with PyTorch and/or Hugging Face is strongly preferred Familiarity in speech analysis is a plus (training will be provided by the research team) Prior to accessing data