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for healthcare and dependent care expenses Flexible Work Program Required Qualifications* High school diploma or equivalent and 2 to 4 years of administrative experience Attention to detail and superior
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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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(primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement simulations and perform computational experiments using high-level programming languages (e.g., Python
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- Posting may close at any time) Job Summary We are looking for MS and PhD students with experience and interest in state-of-the-art data management technologies, high performance computing, memory management
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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, innovation, and education, including student debt and outcomes, interdisciplinarity, the STEM workforce and careers, and the effects of investments in research on local economies. The postdoc will support and
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equipment, computer resources, and yearly research support. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding. Candidates are encouraged
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/science/our-labs/herman-fung-lab). Qualified applicants will have experience in cell, structural or computational biology and a passion for applying and/or developing diverse tools for understanding gene