Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
will perform technical work that underpins the scientific research of the collaboration. A candidate hired for this position will be through the university that is associated with the NIST PREP program
-
execution of high-impact initiatives that span departments, divisions, and institutional leadership. This position is responsible for translating institutional priorities into actionable plans and ensuring
-
. Type routine correspondence and reports from dictation or handwritten copy using personal computer. Transcribe machine dictated medical reports and other documentation using medical terminology. Perform
-
The Department of Pediatrics is seeking a Research Program Assistant II for the Nephrology division. Researchers at Johns Hopkins University conduct clinical trials and clinical studies to discover new ways
-
smoothly functioning office and exemplary patient relations. Serves as medical office coordinator and patient service coordinator for the Lyme Disease Clinical Research Center (LDCRC). Responsible
-
that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform
-
The Ophthalmic Technician Assistant will learn to assist the Ophthalmologist by performing ocular examination and testing and supporting clinical operations. The Wilmer Eye Institute of Johns Hopkins University
-
functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements
-
. Basic computer usage and Microsoft Word. Degree of independent action performed on the job Work will be supervised on a daily basis by the on-duty Campus Safety and Security Shift Supervisor or his
-
algorithm development and system performance. Technical Focus Areas Computer Vision and Model Development: Design and train deep learning models for insect classification and morphological recognition