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of mouse behavioral paradigms is required. Extensive computer programming experience in python or Matlab and the ability to deal with large, complex datasets are required. Experience with preparation and
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of areas including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods
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communities in health and disease. The successful candidate will work at the interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory
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responsible for conducting highly specialized and technical research. The individual will be primarily engaged in the use of computational methods for compound design, including but not limited to molecular
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at the intersection of computational modeling, data science, and clinical medicine. The successful candidate will work closely with clinicians, intensivists, and computational scientists to develop
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practices relating to the education of young children birth to age 8 and those ages 3 to 5, in particular. Equipment Utilized Computer literacy including spreadsheets, webinars, and statistical programs
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perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Applicant should be highly motivated
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communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Must
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various genomic datasets Effective spoken and written English required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting