79 computer-science-programming-languages-"the"-"UCL"-"FEMTO-ST"-"U"-"Prof" positions at Duke University
Sort by
Refine Your Search
-
licensure board, and department clinical practice guidelines. Required Qualifications at this Level Education: Master’s degree in Speech-Language Pathology from an accredited university program. Experience
-
Speech Language Pathology from an accredited university program. Experience: Previous medical setting experience strongly preferred, although other relevant clinical experience considered. Expertise with
-
clinical area JOB ELIGIBILITY REQUIREMENTS Masters degree in Speech Language Pathology from an accredited university program. Previous medical setting experience preferred, although other relevant clinical
-
field. Strong programming skills in languages such as Python and/or R; experience with high-performance computing environments is a plus. Demonstrated expertise in one or more of the following areas
-
laboratory tests on the premises Remove sutures/staples Change sterile and non-sterile dressings Maintain clinical supply of patient care supply Manage the fit testing program, which includes maintenance and
-
Speech Language Pathology from an accredited university program. Experience: Previous medical setting experience preferred, although other relevant clinical experience considered. Degrees, Licensure, and
-
international programs in more than 150 countries. Be You. The Department of Electrical and Computer Engineering (ECE) at Duke University is looking for an Interviewer to join our admissions team for the Master
-
Kunshan University (DKU). You’ll work closely with international students—including U.S. citizens—who are applying to DKU’s innovative undergraduate degree program in Kunshan, China. If you’re passionate
-
(primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement simulations and perform computational experiments using high-level programming languages (e.g., Python
-
healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning