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Field
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, a computational medicine scientist with expertise in mechanistic modeling and quantitative pharmacology, the lab is building innovative tools to accelerate clinical translation and support drug
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the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC
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Biology provides access to high-performance computing clusters, a cloud computing environment, innovative visualization tools, highly automated analytical pipelines, and mentorship from faculty scientists
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. Experience with computational and theoretical simulation and modeling techniques in high-energy physics, such as Monte Carlo event generators. Proficiency in scientific computing and numerical simulation
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Position Summary Functional Genomics of circular RNAs in Alzheimer's Disease. The Cruchaga Lab, member of the NeuroGenomics and Informatics Center, is recruiting a motivated, creative, self-driven
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding
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, distributions, and dynamics in metallic, oxide, and semiconducting systems. This project integrates high-throughput and in situ TEM experimentation with AI/ML-driven image analysis and computational modeling
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of scientific studies. Applicants with a strong background in computational biology are encouraged to apply. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 2 months ago
Intercomparison and Improvement Project, AgMIP), the integration of remotely-sensed information for the monitoring and forecast of extreme event impacts, and the use of high-performance computational resources