Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Duke University, Biomedical Engineering Position ID: Duke-BME-DUKEVENTURELLI [#30407] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
-
uses new technology when required. Under supervision, assists in preparing tables, data visualizations, and lay summaries to communicate study results to participants. Assists in updating and may develop
-
engineering, physics or a related field or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.). Candidates with non-US degrees may be required to provide proof of degree equivalency. Preferred Qualifications
-
reports security of physical and electronic data vulnerabilities. Learns and uses new technology when required. Under supervision, assists in preparing tables, data visualizations, and lay summaries
-
Certification in one of the following required: Radiography (R),Radiation Therapy (T), Nuclear Medicine Technology (N), CNMT, ARDMS, or registry eligible for Magne tic Resonance (MR).ARRT or ARMRIT registered in
-
. Familiarity with graduate business education and admissions processes is preferred. Comfort with virtual platforms and technology used in admissions and recruitment. Choose Duke. This part-time opportunity
-
Processing and/or Technology required within 2 years of hire date -CSPDT (CBSPD) or CRCST (HSPA). Employees hired before 2/18/2019 are not required to obtain certification. Duke is an Equal Opportunity
-
Duke University, Biomedical Engineering Position ID: Duke-BME-DUKEYOU2 [#30191] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
-
Certification Certification in Sterile Processing and/or Technology required within 2 years of hire date -CSPDT (CBSPD) or CRCST (HSPA). Employees hired before 2/18/2019 are not required to obtain certification
-
healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning