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complement atmospheric model data, enabling the investigation of cloud processes and feedback mechanisms. Special attention will be given to km-scale-resolution models, as they provide data that are more
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their appointment to the program. We strongly encourage applicants to identify a research mentor prior to applying (see links above), and the program directors can assist in this process. We have 3 open positions
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hearts Assist with human heart anatomical studies and imaging and developing high resolution computational models and 3D printed models to be used for device testing Work under general supervision but is
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impact both within and across academic disciplines and in other sectors, such as government, communities, or industry. McGill further recognizes and fairly considers the impact of leaves (e.g., family care
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executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches
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Laboratory is a world leader in catalysis, polymer upcycling, separations, computational chemistry, rare earths, quantum materials, synthesis, and additive manufacturing. Ames Laboratory is the leader
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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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interesting collaborations in academy, industry and society, and is a driving force for innovations, results and breakthroughs. We offer a vibrant, international research environment and direct access to world
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contribute to program development, mentor trainees, and support faculty in advancing research and educational objectives. This position is ideal for a motivated researcher seeking to develop expertise, drive
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include tuition-free Part-Time Study and Employee Degree Program, heavily discounted eCornell courses and certificate programs, tuition aid for external education, and Cornell Children's Tuition Assistance