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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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communication with each other and with the medical providers is a high priority within the service. The successful candidate for this position needs to be a good communicator and an eager learner interested in
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communication skills to establish a high level of understanding of and attention to information security in a world-class institution of teaching, learning and research. The CISO works collaboratively with
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, compute resources, and yearly research support. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding. Candidates are encouraged to apply by
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/editing deadlines and deliverables in coordination with the PI Participate in weekly check-ins, strategy meetings, and debrief discussions with the project team. Perform a variety of routine tasks related
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systems for high-energy laser experiments and assist with data analysis from cutting-edge facilities such as LaserNetUS and the European XFEL. You will help analyze experimental data to study ion transport
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operations, high-level administrative support, and financial management. This position is essential for ensuring the smooth and efficient functioning of the office and supporting various administrative and
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: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and
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year electrical/electronics vocational technical program or possess the equivalent in educational and practical experience. Must possess a high school diploma or equivalency (GED). Possess journey level
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management of funds and resources along with donor stewardship. The Associate Director will perform and oversee day-to-day operations; supervise staff; cultivate high-profile research collaborations and public