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Classification Title: Postdoctoral Associate Theoretical and computational quantum information Classification Minimum Requirements: Ph.D. in Physics, Computer Science or closely related areas Job
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experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering, distributed systems, or DevOps are encouraged to apply, as
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of machine learning models. · Experience with statistical analysis, multivariate methods, or comparative and phylogenetic analyses. · Experience using high-performance computing (HPC), cloud computing
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start date. Preferred Qualifications: Research experience in computer vision, NLP, geospatial data systems, or high-performance computing. Brief Description of Duties: The Postdoctoral Associate will
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Apply Now Job Summary We are seeking an instructor/research assistant to help us implement a research study being conducted from October to December 2026 in a local high school health class. This
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developing and running hydrologic and land model simulations and a working knowledge of high-performance computing environments. Specific responsibilities will involve the use of ATS-EcoSIM, a new version of
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on persona-based social simulations for aiding policy design. Position Overview This research project will focus on building and evaluating novel LLM-based systems for performing computational social
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numerical models. • Perform simulations using OpenFOAM, or other relevant computational tools, including HPC platforms. • Analyse and validate simulation results, and publish research
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computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. Demonstrated ability to perform high quality data entry and
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics