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which are the largest flowering plants in the world! See https://eucxylo.sun.ac.za/open-air-lab/ for more information. The focus of this new experimental facility and associated research program is the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
to high-impact, translational research infrastructure at the intersection of biomedical informatics, cloud computing, and AI. Minimum Education and Experience Requirements Ph.D. in Bioinformatics
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high-performance or cloud computing (Slurm, AWS, GCP). Technical Skills: Background in high-dimensional or spatial statistics. Familiarity with tidyverse, Bioconductor, scikit-learn, and pandas. Comfort
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Under the TU RISE programme, MTU was awarded funding
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, or specific mutations that may affect both conditions. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu
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algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability to work collaboratively with
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and Machine Learning tools and algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability
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Deadline 19 Sep 2026 - 01:28 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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decisions are made under pressure, and how technology can support (rather than hinder) patient care. The postdoctoral scholar will use modern data science tools and cloud computing to analyze high-dimensional