435 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Tulane University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
.), working with mice, and maintaining stocks of laboratory reagents and equipment. In addition to working on the bench, the LRT will assist with data analysis and generating graphs and figures. This work will
-
assays, detailed documentation, analysis and summaries of research data into charts and reports, reagents, supplies, and stocks for use in experiments as well as samples and equipment inventories
-
well as animal experiments and data analysis. Provides technical support to the Principal Investigator with ongoing research projects. Organizes and performs data entry using various computer software programs
-
. The Accountant II performs accounting duties at the full accountant level to include the maintenance analysis, interpretation and reporting of financial accounting data and the application of generally accepted
-
the principal investigator, field coordinator, and project manager to recruit participants from Covington, Bogalusa, Amite, Franklinton and potentially other regional clinics. Responsibilities include data
-
Technician will screen and enroll patients as they arrive to the Trauma Center under Exception from Informed Consent (EFIC). Additional responsibilities include data collection and entry, processing of blood
-
. • Excellent oral, written, and interpersonal communication skills. • Ability to work collaboratively as a positive, contributing member of a team, • Experience with data management, with a strong ability to use
-
for nurses seeking to build a career in clinical research and adolescent health. Required Knowledge, Skills, and Abilities • Strong organizational, communication, and computer skills with the ability
-
laboratory safety requirements • Computer skills dexterity required for data entry and retrieval of information • Analytical skills necessary to operate laboratory computers, printers and laboratory equipment
-
cross-functional collaboration with data scientists, clinicians, and bioinformatics to enhance projects and to facilitate execution of research goals. Required Knowledge, Skills, and Abilities • In-depth