375 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at Cornell University
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Advanced degree in Computer Science, Data Science, or related field Experience with LLM applications and prompt engineering Experience with containerization and cloud platforms (AWS, GCP, Azure) Experience
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and Management. The intended start date of this position is January 15, 2025. The position will be based in Ithaca, NY. The MIXTAPE (Monitoring Impacts for Technology Adoption and Program Engagement in
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. Fundamental competence in utilizing current technology as a management and program delivery tool (Excel, Word, PowerPoint, Access, Internet, and Social Media). Knowledge of the philosophy, objectives and
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software engineering, operations, and portfolio analytics. Required Qualifications: Bachelor's degree or equivalent: Computer Science, Information Science, Physics, Mathematics, Statistics, Engineering, or
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needs, and meet timely deliverables Strong collaborative and communication skills Strong reporting skills and technology acumen Resilience amidst constantly changing work environment while maintaining
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through verbal, written, and visual channels using traditional methods and educational tools, as well as electronic technology (e.g., video, audio, computers, etc.). Ability to work proactively as part of a
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the results of applied research. Fundamental competence in utilizing current technology as a management and program delivery tool (Excel, Word, PowerPoint, Access, Internet, and social media). Knowledge
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to continuously expand knowledge of technology/tools supporting effective business processes. Experience working directly with people from various socioeconomic backgrounds. If you have all those things, great! We
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, and enhance program visibility. This dual role is instrumental in shaping the composition of incoming graduate cohorts and increasing career opportunities for students and alumni. Serving as the primary
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biodiversity data to enhance the information and decision-making tools available to conservationists and scientific researchers. We achieve this by producing scientific, computational, and big data resources