哈佛大学(Harvard University),简称“哈佛”,享誉世界的私立研究型大学,著名的常春藤盟校成员,坐落于美国马萨诸塞州波士顿都市区剑桥市。
想要出国访问学习的小伙伴看过来啦,哈佛大学计算机科学、统计学、生物统计学方向正在招收访问学者、博士后!51访学网小编每周定时更新最新的访学招聘信息,感谢关注51访学。
Description
PositionTitle Postdoctoral or visiting scholar Research Position in Biostatistics
School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for statistical methods development to address questions of climate change and air pollution regulatory policy. Expertise in causal inference and machine learning is desirable but not necessary.
The Postdoctoral Fellow will work with a multi- disciplinary team with expertise in statistical methods, epidemiology, climate science, and biomedical science. The position will be under the joint supervision of Dr. Francesca Dominici in the Department of Biostatistics and Dr. Rachel Nethery, and in collaboration with Dr. Danielle Braun. Applicants should have an interest in developing and applying novel and state-of-the-art statistical and data science methods in environmental health.
Qualifications:
Doctoral degree in Computer Science, Statistics, Biostatistics, or related field.
Experience in analyzing real data, strong programming skills, and familiarity with statistical methods is preferred.
Excellent communication and writing skills desired.
The ideal candidate is an independent, solution-oriented thinker with a strong background processing very large data sets, applying analytical rigor and statistical methods, and driving toward actionable insights and novel solutions.
Duties and Responsibilities The Post-doctoral Fellow will contribute to the effort of:
- Analyzing environmental health effects in big data
- Collaborate with our biostatistics and data science group
- Writing scientific articles and research proposals
Basic Qualifications
- PhD in Biostatistics, Statistics or Computer Science.
- Experience in air pollution health studies (desired).
- Experience in handling very large spatial datasets.
- Experience in applied statistics and computational methods.
- Knowledge of R, SAS, and Python.
- Interest in open-source software, reproducibility and data management.
Additional Qualifications
- Familiarity with multiple data science tools and ability to learn new tools as required.
- Experience with version control systems, in particular Git and GitHub.
Special Instructions Contact Information
Susan Luvisi
Contact Email biostatpostdoc@hsph.harvard.edu
哈佛大学(Harvard University),简称“哈佛”,享誉世界的私立研究型大学,著名的常春藤盟校成员,坐落于美国马萨诸塞州波士顿都市区剑桥市。
想要出国访问学习的小伙伴看过来啦,哈佛大学计算机科学、统计学、生物统计学方向正在招收访问学者、博士后!51访学网小编每周定时更新最新的访学招聘信息,感谢关注51访学。
Description
PositionTitle Postdoctoral or visiting scholar Research Position in Biostatistics
School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for statistical methods development to address questions of climate change and air pollution regulatory policy. Expertise in causal inference and machine learning is desirable but not necessary.
The Postdoctoral Fellow will work with a multi- disciplinary team with expertise in statistical methods, epidemiology, climate science, and biomedical science. The position will be under the joint supervision of Dr. Francesca Dominici in the Department of Biostatistics and Dr. Rachel Nethery, and in collaboration with Dr. Danielle Braun. Applicants should have an interest in developing and applying novel and state-of-the-art statistical and data science methods in environmental health.
Qualifications:
Doctoral degree in Computer Science, Statistics, Biostatistics, or related field.
Experience in analyzing real data, strong programming skills, and familiarity with statistical methods is preferred.
Excellent communication and writing skills desired.
The ideal candidate is an independent, solution-oriented thinker with a strong background processing very large data sets, applying analytical rigor and statistical methods, and driving toward actionable insights and novel solutions.
Duties and Responsibilities The Post-doctoral Fellow will contribute to the effort of:
- Analyzing environmental health effects in big data
- Collaborate with our biostatistics and data science group
- Writing scientific articles and research proposals
Basic Qualifications
- PhD in Biostatistics, Statistics or Computer Science.
- Experience in air pollution health studies (desired).
- Experience in handling very large spatial datasets.
- Experience in applied statistics and computational methods.
- Knowledge of R, SAS, and Python.
- Interest in open-source software, reproducibility and data management.
Additional Qualifications
- Familiarity with multiple data science tools and ability to learn new tools as required.
- Experience with version control systems, in particular Git and GitHub.
Special Instructions Contact Information
Susan Luvisi
Contact Email biostatpostdoc@hsph.harvard.edu
哈佛大学(Harvard University),简称“哈佛”,享誉世界的私立研究型大学,著名的常春藤盟校成员,坐落于美国马萨诸塞州波士顿都市区剑桥市。
想要出国访问学习的小伙伴看过来啦,哈佛大学计算机科学、统计学、生物统计学方向正在招收访问学者、博士后!51访学网小编每周定时更新最新的访学招聘信息,感谢关注51访学。
Description
PositionTitle Postdoctoral or visiting scholar Research Position in Biostatistics
School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for statistical methods development to address questions of climate change and air pollution regulatory policy. Expertise in causal inference and machine learning is desirable but not necessary.
The Postdoctoral Fellow will work with a multi- disciplinary team with expertise in statistical methods, epidemiology, climate science, and biomedical science. The position will be under the joint supervision of Dr. Francesca Dominici in the Department of Biostatistics and Dr. Rachel Nethery, and in collaboration with Dr. Danielle Braun. Applicants should have an interest in developing and applying novel and state-of-the-art statistical and data science methods in environmental health.
Qualifications:
Doctoral degree in Computer Science, Statistics, Biostatistics, or related field.
Experience in analyzing real data, strong programming skills, and familiarity with statistical methods is preferred.
Excellent communication and writing skills desired.
The ideal candidate is an independent, solution-oriented thinker with a strong background processing very large data sets, applying analytical rigor and statistical methods, and driving toward actionable insights and novel solutions.
Duties and Responsibilities The Post-doctoral Fellow will contribute to the effort of:
- Analyzing environmental health effects in big data
- Collaborate with our biostatistics and data science group
- Writing scientific articles and research proposals
Basic Qualifications
- PhD in Biostatistics, Statistics or Computer Science.
- Experience in air pollution health studies (desired).
- Experience in handling very large spatial datasets.
- Experience in applied statistics and computational methods.
- Knowledge of R, SAS, and Python.
- Interest in open-source software, reproducibility and data management.
Additional Qualifications
- Familiarity with multiple data science tools and ability to learn new tools as required.
- Experience with version control systems, in particular Git and GitHub.
Special Instructions Contact Information
Susan Luvisi
Contact Email biostatpostdoc@hsph.harvard.edu
哈佛大学(Harvard University),简称“哈佛”,享誉世界的私立研究型大学,著名的常春藤盟校成员,坐落于美国马萨诸塞州波士顿都市区剑桥市。
想要出国访问学习的小伙伴看过来啦,哈佛大学计算机科学、统计学、生物统计学方向正在招收访问学者、博士后!51访学网小编每周定时更新最新的访学招聘信息,感谢关注51访学。
Description
PositionTitle Postdoctoral or visiting scholar Research Position in Biostatistics
School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for statistical methods development to address questions of climate change and air pollution regulatory policy. Expertise in causal inference and machine learning is desirable but not necessary.
The Postdoctoral Fellow will work with a multi- disciplinary team with expertise in statistical methods, epidemiology, climate science, and biomedical science. The position will be under the joint supervision of Dr. Francesca Dominici in the Department of Biostatistics and Dr. Rachel Nethery, and in collaboration with Dr. Danielle Braun. Applicants should have an interest in developing and applying novel and state-of-the-art statistical and data science methods in environmental health.
Qualifications:
Doctoral degree in Computer Science, Statistics, Biostatistics, or related field.
Experience in analyzing real data, strong programming skills, and familiarity with statistical methods is preferred.
Excellent communication and writing skills desired.
The ideal candidate is an independent, solution-oriented thinker with a strong background processing very large data sets, applying analytical rigor and statistical methods, and driving toward actionable insights and novel solutions.
Duties and Responsibilities The Post-doctoral Fellow will contribute to the effort of:
- Analyzing environmental health effects in big data
- Collaborate with our biostatistics and data science group
- Writing scientific articles and research proposals
Basic Qualifications
- PhD in Biostatistics, Statistics or Computer Science.
- Experience in air pollution health studies (desired).
- Experience in handling very large spatial datasets.
- Experience in applied statistics and computational methods.
- Knowledge of R, SAS, and Python.
- Interest in open-source software, reproducibility and data management.
Additional Qualifications
- Familiarity with multiple data science tools and ability to learn new tools as required.
- Experience with version control systems, in particular Git and GitHub.
Special Instructions Contact Information
Susan Luvisi
Contact Email biostatpostdoc@hsph.harvard.edu