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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
in large language models, machine learning, and natural language processing, combined with a collaborative spirit and a drive for problem-solving. You’ll join a multidisciplinary team that values
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, logistical, and administrative tasks within the group (40%) as well as research-related activities (60%). The research-related duties include contact with our clinical collaborators, collection and processing
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evaluation equipment, pens, sheep handler, cattle yards, weight scales etc; Collect, process and store biological samples from livestock using approved methods. Care and maintenance of experimental livestock
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architecture, parallel processing and hardware-oriented applications and optimisations as well as operating systems. The project will be carried out in close cooperation with Audi in Ingolstadt and Neckarsulm
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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with software CASToR and projection data from gPET. Simulation data post-processing for manuscript preparation; manuscript writing and revisions. Team meetings and reporting. Minimum Qualifications Ph.D
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on possible areas for improvement. Support the effective functioning of Hult’s campus-based Academic Integrity Committees, ensuring global consistency of processes and outcomes relating to academic dishonesty
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely with industry partners and public agencies