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Computer Science, Engineering, Sciences, or related computational field is required. Solid coding skills and good experience with large AI models. Experience leading multiple software projects Familiarity with GPU
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manage multiple projects and prioritize competing needs. • Excellent interpersonal, organizational, and communication skills. • Strong Microsoft Office skills. • Ability to work from our Princeton, NJ
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as part of the interview process. Familiarity with graphic design and related tools (e.g. Adobe Creative Suite, Canva, etc.). Proven ability to manage projects, establish priorities among multiple
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of diverse personalities and professional backgrounds. A strong customer service focus. The ability to work independently, self-motivate, and to manage multiple priorities simultaneously is essential. Ability
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external operations, and customer service delivery; identifying and/or benchmarking trends and implementing appropriate solutions. Serve as an active member or facilitator of multiple committees (Benefits
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encourage applications from individuals whose personal identities, backgrounds and/or interests (as demonstrated by their research, teaching, service, mentoring and/or advising) align with our commitments and
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of responsibilities and the analytical skills necessary to prioritize and optimize multiple priorities and objectives Excellent skills with Microsoft Office Tools (Excel, Word, PowerPoint) Preferred
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their departments and can acquire a breadth of expertise by working with multiple faculty members. We value building a culturally diverse intellectual community; women and members of underrepresented groups
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
at Princeton and with other members of the M2LInES project across multiple institutions. In addition to a quantitative background, the selected candidates will ideally have one or more of the following
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advanced degree may be considered if they have significant (multiple years) hands-on experience with advanced microscopy applications. Applications are accepted online at https://puwebp.princeton.edu