Post Doctoral Fellow - (STA006684)
- Employer
- University of Houston
- Location
- Texas, United States
- Salary
- Salary Not Specified
- Date posted
- Dec 2, 2020
View more
- Position Type
- Faculty Positions, Education, Instructional Technology & Design, Health & Medicine, Other Health & Medicine, Pharmacology, Science, Technology & Mathematics, Other Science & Technology
- Employment Type
- Full Time
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Job Description:
Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills.
- Receives/Reviews progress and evaluates results of experiments or projects under control or supervisory responsibility.
- Recommends changes in research, testing or experimental procedures.
- May be responsible for a single highly technical and complex piece of research equipment.
- May review and evaluate the effectiveness of personnel.
- May plan for and assign personnel to projects under control.
- Operates with latitude for unreviewed action.
- May receive general supervision conferring with higher levels only in unusual situations.
- Performs other job-related duties as required.
EEO/AA
Qualifications :
Qualifications:
Doctoral and No experience
Requires singular knowledge of a specialized advanced professional discipline or the highest level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is directly related to the type of work being performed.No experience is required.
Additional Job Posting Information:
The position entails innovative research in the field of AI/ML with applications to Healthcare. Specifically, The candidate will develop, train and evaluate Machine Learning Algorithms and Ensembles to identify progressive disease cases at initial presentation.
Notes to Applicant: The position entails innovative research in the field of AI/ML with applications to Healthcare. Specifically, The candidate will develop, train and evaluate Machine Learning Algorithms and Ensembles to identify progressive disease cases at initial presentation.
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