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Field
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creating the fastest algorithms for modeling of entanglement purification circuits; creating the highest performance quantum error detection circuits; developing symbolic computer algebra systems for quantum
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computational infrastructure such as A100 and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research
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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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Lab The EMERGE lab at NYU is seeking to hire a postdoc to work on scaling and deploying end-to-end RL planning agents for autonomous vehicles. Based on prior work on creating high performing self-play
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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, and will be making use of Penn State high-performance computing resources. He will be encouraged to interact with other students, postdocs, and faculty within the Department of Physics and related units
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experience performing in vivo biodistribution imaging to apply to an exciting project investigating antibody penetration in heterogenous tumor models. The postdoc will work closely with in vivo imaging
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
for computational method development, data analysis, and experimental design. The qualified candidate will integrate information from a combination of sources, including high throughput screens, proteomic, and next
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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. Familiarity with high-performance or cloud computing (Slurm, AWS, GCP). Technical Knowledge or Skills: Background in high-dimensional or spatial statistics. Familiarity with tidyverse, Bioconductor, scikit