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such as Python or R. Proficiency with relational database systems (SQL) and object-based data stores. Ability to define and solve logical problems for technical applications. Knowledge of and ability
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of resilient artificial intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in
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platform and coordinating the integration and testing of commercial cellular equipment. The candidate must have fluency in multiple programming languages such as bash scripting, C++ and Python and comfort
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. Programming skills (Python or Fortran preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations
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) Group led by Prof. Ravinder Dahiya. BEST group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and resource
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Microsoft Office (Word, Excel, PowerPoint), and online research tools (e.g., Redcap, Qualtrics) Programming skills (e.g., R, SPSS, Python, or similar) preferred Interpersonal & Organizational Skills Excellent
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.) Ellucian Banner (Student, Finance, AR or Advancement) Object Orient Programming (Java, C#, VB.Net, etc.) Scripting Languages (Perl, korn shell, c-shell, python, JavaScript) Web Applications and Technologies
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coordinating the integration and testing of commercial cellular equipment. The candidate must have proficiency in multiple programming languages such as bash scripting, C++ and Python and comfort to operate
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Engineering: Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. Data Pipeline Engineering: Extensive
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skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. Data Pipeline Engineering: Extensive experience with end-to-end data pipelines