447 programming-language-"St"-"University-of-St"-"FEMTO-ST"-"ST" positions at Carnegie Mellon University in United States
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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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customer location in Huntsville, AL and other locations as required. Apply program and project management skills (in collaboration with SEI colleagues) to include working with clients, developing proposals
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on electrocardiogram-language models with a purpose to develop performant models that can understand electrocardiograms and text, followed by a formalization of the method through publications and such other tasks
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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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undergraduate and graduate programs. The position carries a 3/3 teaching load. Apply via Interfolio. For full consideration, submit materials by November 1, 2025. Applicants should submit: Cover Letter (1-2 pages
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promoting the collaborative neuroscience community among CMU and Pitt. Core responsibilities include: Working with participants to gather data during in-person experiments examining language perception and
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development, and program improvement across the university. This position serves as a strategic link between Institutional Research & Analysis (IR&A) and Student Affairs, advancing initiatives in both areas
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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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asked to provide additional papers/manuscripts and references from three referees. Questions? Contact Christopher Warren, Professor of English and Department Head, at cnwarren@cmu.edu Carnegie Mellon
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through their work. Preferred Skills: Experience with single-cell analysis and microbial culturing techniques. Familiarity with Machine-Learning and computational tools and programming languages such as