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research projects aimed at improving reach and effectiveness of behavioral health services for young people are encouraged to apply. The fellow will actively participate in implementation, data analysis, and
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Collaborate with teachers and team members Qualifications: Required: PhD in Psychology, Educational Psychology, Cognitive Science, or related field Strong communication and interpersonal skills Expertise in
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been ranked among the top in the nation. The Department currently has an ongoing PhD program in Biostatistics, MS program in Biostatistics, and BS program in Health Data Science. We have established
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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
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analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration
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Bioinformatics and computational biology for multi-omics integration and biomarker discovery. High-dimensional data analysis from targeted arrays and imaging platforms. Coordination of biological sample pipelines
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University Notice of Non-Discrimination here which includes contact information. Basic Qualifications At least 3 years of training in a PhD in experimental subatomic physics or precision measurement is
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implementation science, with an emphasis on improving care for older adults and individuals with dementia. The fellow will join a dynamic, interdisciplinary team under the primary mentorship of Dr. Kathleen Unroe
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PhD, DrPH, or MD. Candidates whose programs of study emphasized public health, epidemiology, health policy & management, information science, informatics, computer science, data science, or health
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Ware, MD, Phd (https://medicine.iu.edu/faculty/22816/ware-stephanie) is the Chair of the Department of Medical and Molecular Genetics as well as the program leader of the Cardiovascular Genetics Program