30 phd-computer-artificial-machine-human Postdoctoral positions at Northeastern University
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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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frameworks, while beneficial in some contexts, may pose obstacles in environmental science education. This project explores how intuitive thinking plays a role in shaping student understanding of human-nature
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Health based at The Walter and Eliza Hall Institute in Melbourne, Australia. You will be part of a multi-disciplinary team that has an ambitious long term research program to decipher what factors result
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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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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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involves developing research projects, grant writing, manuscript preparation, lab management, and supervision of graduate and undergraduate students. Minimum Qualifications PhD (or earning the degree by
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of recommendation MINIMUM QUALIFICATIONS Candidates should have a Ph.D. in Physics, Mathematics, or Computer Science. A strong track record of research accomplishments in technical fields, ideally involving
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journals and present at internal and external scientific meetings. Qualifications and Skills PhD in cellular biology, molecular biology, biochemistry, immunology, or related field, with a strong focus on
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific