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Field
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with next-generation sequencing library construction (e.g., RNA-seq, ATAC-seq, or related). • Demonstrated experience with at least one of the following: ATAC-seq, single-cell or single-nucleus RNA-seq
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data acquisition, data analytics, statistical modeling, and machine learning in manufacturing environment. Proficiency in Python and common data science and machine learning libraries (e.g., NumPy
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review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and
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annotation, comparative or population genomics, command-line work in a Linux/HPC environment, and scripting in at least one of Python, R, or Bash. Hands-on molecular biology (DNA extraction, library
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computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning libraries Excellent written and verbal communication skills Track record of publishing in top tier conferences For consideration, applicants need to submit a cover letter, curriculum vitae
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functional annotation. Experience handling microbiome/microbial samples and wet lab workflows for sequencing library preparation. Experience working with milk samples or infant/pediatric cohort data
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are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus
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for sequencing library preparation. Experience working with milk samples or infant/pediatric cohort data. Experience with lipid biochemistry. TO APPLY : Please click on this link to submit your application: https
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current NIH postdoctoral salary guidelines. Postdoctoral associates are eligible for comprehensive health and leave benefits and have access to libraries and other research resources available for faculty