Post Doc Associate & Post Doc Fellow, Artificial Intelligence, Technology, & Precision Nutrition & Health
- Manuscripts, reports, abstracts for conferences, grant proposals
- Data analysis and pipeline development
- Technology-based solutions for advancing population health
- Have received a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine, or a related science field.
- Candidates should demonstrate quantitative/qualitative research skills, excellent written and oral communication skills, and the ability to work independently and with collaborators. A track record of original first-author publications or conference proceedings from doctoral work is desirable.
- Trainees will be expected to focus on questions related to AI, technology, and precision nutrition for their research, and participate in a capstone course on this topic.
- Postdocs may also apply for pilot funds from the Cornell Joan Klein Jacobs Center for Precision Nutrition and Health, to conduct research (up to $20,000) and/or present at professional conferences, as well as to support registration for online conferences.
- Prior relevant work or industry experience.
- Education level to the extent education is relevant to the position.
- Academic Discipline
- Unique applicable skills.
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