Sort by
Refine Your Search
-
, fluent in written and spoken English, and competent in basic computer database management. Familiarity or experience with gene sequencing or gene manipulation will be an advantage. The appointee will be
-
analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
-
the coordination and monitoring of the instrument development and validation process, including seeking advice from the PI & co-Is to ensure the quality of research design and implementation. Conduct pilot studies
-
post-doctoral researchers Prepare project reports and perform other duties as assigned Monitor and evaluate project progress Requirements At least 5 years of relevant work experience A Bachelor degree or
-
data visualization skills Self-motivated, scientifically mature, attentive to details Ability to acquire new biostatistical techniques by self-learning Able to work independently and in collaboration
-
datasets using R and/or STATA, and genetic/molecular epidemiology including Mendelian Randomization) Strong quantitative background Good communication and data visualization skills Ability to acquire new
-
studies, specifically with mouse models. Proficiency in computer skills, including Microsoft Office (e.g., Word, Excel, PowerPoint) for data management and reporting. Desirable Skills: Proficiency in
-
Science, Biomedical Sciences/Engineering, Electrical Engineering, Medical Physics, or related disciplines with a strong background in artificial intelligence and medical image analysis. Experience in deep learning
-
project for year II dental undergraduate students that involves experiential/enrichment learning. The appointee is required to conduct and coordinate the activities, including: Preparation of surveys and