Updated Focus of NIGMS-Supported Predoctoral Training in Computational Biology, Bioinformatics, and Biomedical Data Science

Modern biomedical research is becoming increasingly quantitative and reliant on computational methods, with growing use of large and complex datasets to address biomedical research questions and advance human health. To help address the need for biomedical researchers with cutting-edge computational and quantitative skills, we have updated the focus areas of our Predoctoral T32 Training Program in Computational Biology, Bioinformatics, and Biomedical Data Science (formerly called Bioinformatics and Computational Biology). In doing this, we aim to better integrate training in data-science approaches throughout the curriculum and during the mentored research period. We are now placing a strong emphasis on programs that: Focus on new and emerging areas of data science, including machine learning, deep learning, and artificial intelligence. Integrate training in biological sciences and quantitative and computational sciences (e.g., data science, computer science, statistics, mathematics, informatics, engineering). Provide multidisciplinary training to students in the fundamentals and applications of computational and information sciences. Include training in fair and ethical data use, data sharing, and data security and confidentiality. Take advantage of the resources and expertise available in the private sector to develop student skills such as the ability to write efficient, industry-standard computer code and the use of emerging technologies and platforms. Help develop care...
Source: NIGMS Feedback Loop Blog - National Institute of General Medical Sciences - Category: Biomedical Science Authors: Tags: Funding Opportunities Training/Fellowships/Career Development Biomedical Graduate Education Predoctoral Source Type: blogs