72 programming-languages-"the"-"CNRS"-"U"-"UCL"-"FEMTO-ST-institute" positions at Carnegie Mellon University
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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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websites Customize website by developing custom programs written in languages such as HTML, CSS, JavaScript, PHP, Python and Java to enhance user appeal, utility and overall site functionality Assist with
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lab’s executive education programs, and contribute to grant proposals and the management of current grants. Specific duties include: (i) managing research projects in computer science education
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August 21, 2025. This is an hourly paid position through CMU. Current students and alumni are encouraged to apply. Anyone who is a non-U.S. citizen will also need to complete the ITA Language Certification
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administration. Experience with network switching and routing. Experience with scripting languages (e.g. Python, BASH) Desire to teach, learn and lead for continuing team development. A combination of education
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on the construction process. Responsibilities: Lead software development projects from conception to deployment, focusing on C and C++ programming languages. Mentor junior team members in the construction of software
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demonstrate: Ability to work with statistics software, such as Stata or SAS Familiarity with programming languages, such as Python Proven ability to work independently to solve problems Qualifications
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computing, data, and other PSC services into clear, concise language that is understandable for non-technical audiences. Customization: Tailor proposals to meet the specific requirements of each funding
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giving, and alumni relations on communications marketing strategies and deliverables, such as print collateral, press releases, speech content, event programming, email campaigns, and web presence
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with statistical analysis tools. Proficiency in programming languages such as Python, SQL, etc. Experience with MPP databases like Redshift or Snowflake. Understanding of structured and unstructured data