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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 271598471 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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management skills including: time management, attention to detail, and ability to manage multiple priorities. Experience in program management and development. Experience creating and overseeing a project
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aid program ensures that talented students from all economic backgrounds can afford a Princeton education. Connections working at Princeton University More Jobs from This Employer https
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program visibility, promoting accomplishments, trends, and priorities to internal and external constituents. Internal and External Stakeholder Engagement Create and sustain a multi-channel communications
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, wellness, sustainability, procurement and hospitality to develop innovative programs in support of our diverse community. Our award winning food program is based on scientific and evidence-based principles
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hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information
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training program at Princeton University. This program covers the onboarding and training of LAR staff as well as students, research staff, and faculty who perform research involving animals. The LAR
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artificial intelligence. You will work with a diverse group of faculty, postdocs, and students from multiple disciplines, including cognitive science, psychology, computer science, statistics and machine
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baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link
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, Applied Math, Sciences, or related computational field. A minimum of 2 years as a Research Software Engineer or equivalent experience (e.g. graduate school, industry experience, open-source software