Postdoc Position@Johns Hopkins Biostatistics
16863
Position: Opening for a Postdoctoral Research Fellow to work on developing novel statistical methods for multi-modal data generated by wearables. The embedding of multiple sensors in wearable devices now allows real-time tracking of sleep, physical activity, heart rate, and more to come. This comprehensive multimodal tracking requires a next generation of statistical methods-the primary focus of this fellowship. The fellow will be mentored by Dr. Vadim Zipunnikov and will be a part of the Wearable and Implantable Technology (WIT) group at the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.
Duties and Responsibilities: Successful applicant will work primarily on developing and testing novel statistical methods for modelling and fusing functiona, matrix-variate, and time-series data. The applicant will also have an opportunity to work on a collaborative project with Takeda Pharmaceuticals with a focus on identifying clinically relevant characteristics and patterns of actigraphy-measured physical activity and their relationship with cognitive, behavioral, and physiological endpoints in subjects with and without mild Alzheimer's.
Qualifications: Applicants must have a PhD in biostatistics, statistics, computer science, applied mathematics, biomedical informatics, or any other field related to data science. Strong programming skills in R or Matlab are essential.
To apply, please send a CV and contact information for references to:
Prof. Vadim Zipunnikov http://www.biostat.jhsph.edu/~vzipunni/
email: [email protected]
Duties and Responsibilities: Successful applicant will work primarily on developing and testing novel statistical methods for modelling and fusing functiona, matrix-variate, and time-series data. The applicant will also have an opportunity to work on a collaborative project with Takeda Pharmaceuticals with a focus on identifying clinically relevant characteristics and patterns of actigraphy-measured physical activity and their relationship with cognitive, behavioral, and physiological endpoints in subjects with and without mild Alzheimer's.
Qualifications: Applicants must have a PhD in biostatistics, statistics, computer science, applied mathematics, biomedical informatics, or any other field related to data science. Strong programming skills in R or Matlab are essential.
To apply, please send a CV and contact information for references to:
Prof. Vadim Zipunnikov http://www.biostat.jhsph.edu/~vzipunni/
email: [email protected]
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