17 machine-learning positions at University of Tennessee Health Science Center in US

Research Technician 2-Pathology

animal records. Performs animal surgeries (subcutaneous and intracranial injection). Utilizes various anticancer drugs to treat animals. Performs animal imaging on the IVIS Lumina machine and analyzes

Building Maintenance Specialist-Building Maintenance

: Ability to utilize iPad and other technical devices to submit work ticket requests through computer-based maintenance software such as Archibus. Ability to operate equipment such as airless spray equipment

Research Nurse Coordinator - Pediatrics Neonatology

). Learns the protocols and computer programs as assigned; completes the duties as delegated by the PI in order to perform the procedures of the protocol. Plans for coverage of research project(s) with

General Dentistry (Operative) Part Time 60% to Full time 100%- Assistant/Associate Professor

available evidence to achieve and maintain optimal patient oral health, comfort, function and esthetics. Supervise, instruct, and evaluate pre-doctoral students in the following environments: simulation

Medical Administrative Specialist 1-College of Dentistry

multiple computer software systems, scan documents, and learn new systems as required. Collaborates with other departments in the College to schedule patient appointments for dental procedures handled in

Administrative Associate 2-Medicine (Knoxville)

distributes office supplies. Proctors yearly In-Training Exam in Internal Medicine including registration, setup/reserve computer lab, and notification of affected rotations during the test. Troubleshoots

Research Technician 3 - Ophthalmology

Technician 3 supports data mining and machine learning studies to detect retinal conditions by focusing on research regulatory management, data collection, and coordination of all communication needs

Postdoctoral Scholar - Ophthalmology

responsibility of carrying out independent research related to application of machine learning and data mining techniques to analyze multiple data modalities related to corneal disease, including imaging, genetic

Postdoctoral Fellow: Data Scientist

, developing machine learning algorithms and models, geocoding, and visualization of the proposed framework. The successful candidate will work with a team of experts led by Dr. Arash Shaban-Nejad and David

Clinical Research and Student Coordinator-Research Center (Knoxville)

to work with diverse populations. Experience performing literature searches and working with Endnote as well as RedCap, Word, Excel, and PowerPoint. Intermediate-level computer skills with the ability