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the Edinburgh Parallel Computing Centre), the Generative AI Lab, and the Centre for Technomoral Futures. The successful candidate will contribute to both theoretical analysis and computation experimentation (in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program is designed for candidates who have completed their PhD within the last two years and have experience as
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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outputs are biologically and clinically meaningful. Contribute to PI-led grant applications and mentor undergraduate/graduate students. Qualifications: Required: PhD in Computer Science, AI, Data Science
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diseases with an emphasis on translational application and therapeutic development. The Cornea Biology Laboratory, under the direction of Sophie Deng, MD, PhD, studies corneal stem cells aiming to develop
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dynamics (DNS, LES, or RANS) and/or high-performance computing (MPI, GPU, or parallel solvers), as demonstrated by application materials. Evidence of peer-reviewed publications in fluid dynamics, turbulence
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research project (e.g. PhD in physical chemistry, chemical physics, computational chemistry or relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc
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Brazilian or foreign researchers holding a PhD in Statistics, obtained in Brazil or abroad, with proven experience in Survival Analysis and/or Reliability, and the ability to propose and validate new
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computational fluid dynamics (DNS, LES, or RANS) and/or high-performance computing (MPI, GPU, or parallel solvers), as demonstrated by application materials. Evidence of peer-reviewed publications in fluid
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? No Offer Description The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable