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                Number: 5507559 Postdoctoral Research Associate - Computational quantum materials and devices About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill 
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                About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill one or more Postdoctoral Research Associate (PRA) positions in computational quantum 
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                institute and would be encouraged to find ways to thrive and grow their own research program. This position is Boston-based and is available through grant funding that runs until August 31, 2026 
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                properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying 
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                for computational chemistry on quantum computers, and applying existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest 
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                ; work under the supervision of a senior scholar. Solid background in high-energy theoretical and mathematical physics, including, but not limited to, quantum field theory and general relativity. KEY 
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                postdoctoral research associate in the field of computational materials discovery starting in Summer 2025. Our group is seeking to discover novel materials for renewable energy applications using high-throughput 
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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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                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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                on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position collaborates with faculty, students, and external partners