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promotion dependent on research performance and mutual interests. Required Qualifications: PhD in related subject areas, such as computer science, information science, and health/biomedical informatics
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of this research program—spanning basic mechanistic discoveries, application of high-throughput technologies, validation in cancer-relevant mouse models, and translation platforms—is to understand the fundamental
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references, and one or more writing samples (published or in press). Materials should be attached to the application and sent electronically to Dr. Raeshan Davis, Research Scientist and HHMI Program Manager
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metagenomic sequencing data. Strong programming skills (e.g., R and Python). Experience with cloud computing. Excellent organizational and interpersonal skills, and a strong publication record. Desired
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production with an associated photon. • Technical skills in the use of columnar analysis approaches with python. Desired Qualifications • Experience with C++ programming. • Experience in developing
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. - Two-page research statement describing your vision and research plan in the domains of risk and resilience analytics and digital twin modeling, highlighting both technical depth and innovative thinking
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/ Statistical Genetics or closely related program. Required Qualifications Ph.D. degree in bioinformatics, statistical genetics, biostatistics, or a closely aligned quantitative area. Candidate is expected
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related quantitative field. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication
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. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication Additional Information: Location: Pelotonia Research Center (1040