-
-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
-
development reviews, leadership and entrepreneurship training, collaborative training opportunities, and networking and conferences. Qualifications: PhD in Molecular Biology, RNA Biology, Biophysics, or a
-
independence, long-term career advancement, and the development of an intramural and extramural academic network tailored to the candidate’s interests. This fellowship will allow candidates to develop, or expand
-
in candidates with interest in algorithms, blockchains and cryptocurrency, causal inference, game theory, learning, machine learning, market design, and networks, but all subjects at the intersection
-
required. Excellent writing skills and verbal communication skills are mandatory. Experience with database software is preferred, especially REDCap. Prior experience in a clinical setting is preferred, with
-
, artificial neural network models, evaluation of individualized predictions or estimates for individuals with diverse backgrounds, and promotion of health equity using AI models. The Postdoctoral Associate will
-
Research Skills: Proficiency in quantitative research methods and statistical software (e.g., SPSS, Stata, R). Publications: A demonstrated track record of academic publications and research outputs