Texas A&M University Health Science Center is looking to develop aging in place technologies and digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases.
Requirements
- Experience with machine learning and deep neural network techniques.
- Experience with wearable and sensors placed in the environment.
- Knowledge of characteristics associated with mild cognitive impairment capturable with digital interfaces.
- Experience with agentic large language models
- Experience in artificial intelligence to develop the algorithms for digital twins
- Experience with both qualitative and quantitative data analysis techniques
- Experience in cleaning and analyzing healthcare data
Responsibilities
- Analyzes complex sensor data
- works with a multidisciplinary team to develop health digital twins
- communicates data in the form of primary research articles
- aides in grant writing
- supervises graduate and undergraduate students
- performs routine research duties as required
- Develops and evaluates artificial intelligence and machine learning algorithms for sensor data
Other
- Appropriate PhD in a related field.
- Excellent verbal and written skills.
- Presentation skills.
- Analytical skills.
- Attention to detail.
