[教授本人] 印第安纳大学健康数据科学 Biostatistics 招聘研究助理
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王硕老师现任印第安纳大学数据科学学院（medicine.iu.edu。 学生将在 SWLab 参与复杂网络和系统研究，以调查生物医学复杂性。SWLab 位于印第安纳大学医学院生物统计学和健康数据科学系。该实验室专注于应用和开发可扩展的高维生物医学数据统计和计算方法，重点是网络科学、高维数据分析、神经成像、数据集成和统计机器学习。根据之前的经验，选定的候选人将有机会为实质性的神经科学研究、方法创新或软件开发和文档做出贡献。更多详细信息请参考王老师个人主页 (medicine.iu.edu。实验室与工业界有长期紧密的合作并鼓励暑期实习。优先考虑有相关研究经验的同学。欢迎感兴趣的同学发送个人简历到: 1point3acres.com.
Company Information
Housed in Richard M. Fairbanks School of Public Health and Indiana University School of Medicine, the Department of Biostatistics and Health Data Science possesses an uncommon ability to connect the widest possible range of people, disciplines, and ideas that reflect the modern U.S. health care environment and delivery models, readying students to practice medicine in a team-based, interdisciplinary setting. Supporting the largest medical school in the United States, the Department of Biostatistics and Health Data Science hosts a new breed of scientists, drawing on every discipline, pursuing groundbreaking talent, and novel technology, whatever its origin.
Duties and Responsibilities
The Department of Biostatistics and Health Data Science at the Indiana University School of Medicine, Indiana University, invites applications for a part-time research assistant position. Selected candidate will apply and develop scalable statistical and computational approaches for high-dimensional biomedical data with emphases on network science, high dimensional data analysis, neuroimaging, gene expression, data integration and statistical machine learning. The selected candidates will work under the mentorship of Dr. Selena Wang to perform the integrative cutting-edge research with multi-scale molecular and neural networks with real-world applications in Alzheimer’s Disease, psychiatry, mental health, etc. Selected candidates will be given opportunities to support current collaborations within IU systems and with other institutions. We seek candidates with strong quantitative and computational skills. Familiarities with Bayesian frameworks are preferred. While a background in neuroimaging, genetics, or transcriptomics is beneficial, it is not required.
Position Qualifications
The quantified candidates should have or about to have a bachelor degree in biostatistics, bioengineering, data science, mathematical psychology, quantitative psychology or a related quantitative area, and be able to start this position in 2025 and be available for at least one year.
Application Instructions
Send an email to Dr. Selena Wang ([email protected]) with your CV/resume and a brief description of your background and interest. Applications are reviewed on a rolling basis.
Company Information
Housed in Richard M. Fairbanks School of Public Health and Indiana University School of Medicine, the Department of Biostatistics and Health Data Science possesses an uncommon ability to connect the widest possible range of people, disciplines, and ideas that reflect the modern U.S. health care environment and delivery models, readying students to practice medicine in a team-based, interdisciplinary setting. Supporting the largest medical school in the United States, the Department of Biostatistics and Health Data Science hosts a new breed of scientists, drawing on every discipline, pursuing groundbreaking talent, and novel technology, whatever its origin.
Duties and Responsibilities
The Department of Biostatistics and Health Data Science at the Indiana University School of Medicine, Indiana University, invites applications for a part-time research assistant position. Selected candidate will apply and develop scalable statistical and computational approaches for high-dimensional biomedical data with emphases on network science, high dimensional data analysis, neuroimaging, gene expression, data integration and statistical machine learning. The selected candidates will work under the mentorship of Dr. Selena Wang to perform the integrative cutting-edge research with multi-scale molecular and neural networks with real-world applications in Alzheimer’s Disease, psychiatry, mental health, etc. Selected candidates will be given opportunities to support current collaborations within IU systems and with other institutions. We seek candidates with strong quantitative and computational skills. Familiarities with Bayesian frameworks are preferred. While a background in neuroimaging, genetics, or transcriptomics is beneficial, it is not required.
Position Qualifications
The quantified candidates should have or about to have a bachelor degree in biostatistics, bioengineering, data science, mathematical psychology, quantitative psychology or a related quantitative area, and be able to start this position in 2025 and be available for at least one year.
Application Instructions
Send an email to Dr. Selena Wang ([email protected]) with your CV/resume and a brief description of your background and interest. Applications are reviewed on a rolling basis.
