598 evolution "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Cornell University in United States
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materials Oversee all programming development at camp Enforce camp rules and regulations; model standards for conduct as they pertain to camp staff and campers Enforce regulations per the Health and Safety
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the Cornell Cooperative Extension Association indicated in this job posting must apply online via their employee Workday account, which may be accessed here: http://workday.cornell.edu/ Apply By All
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knowledge at the intersection of learning, workforce development, and technology. The position is well suited for a candidate with demonstrated experience leading collaborative research, mentoring students
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Business Development & Licensing Associate - Physical Sciences and Engineering The Center for Technology Licensing at Cornell University seeks a Business Development & Licensing Associate for Physical
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by the Cornell Cooperative Extension Association indicated in this job posting must apply online via their employee Workday account, which may be accessed here: http://workday.cornell.edu/ Apply By All
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The Center for Technology Licensing at Cornell University seeks a Business Development & Licensing Associate for Physical Sciences and Engineering to join the Business Development and Licensing team
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. The Executive Director is responsible for articulating a contemporary vision for Extension programming while ensuring the Association’s long-term viability through aggressive fund development and rigorous
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and teach existing courses. Current courses cover web programming and design; application development; human-computer interaction; human-AI interaction; information visualization; data science and
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to accompany the campers to any of the camp activities. Assure campers are properly supervised at all times. Apply basic youth development principles in working with campers through communication, relationship
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highly collaborative research team to accelerate and extend ongoing research efforts (including DL-based joint species distribution modeling and causal machine learning) and lead methods development