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skills and the ability to collaborate with cross-functional teams are essential. Responsibilities The main responsibilities of the role are as follows: Develop and optimize algorithms for processing NIRS
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dynamics (CFD) to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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The AarhusNLP Group at the Center for Humanities Computing, Aarhus University, invites applications for multiple three-year Postdoctoral Researcher positions. Starting date: June 1 2025 (or as soon
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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Associate in PFAS Predictive Modeling with the University of Maine Cooperative Extension will establish and sustain a dynamic research and educational outreach program to address data and modeling needs
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research in advanced computing solutions for 6G wireless networks. This includes the development, integration, and optimization of Kubernetes for specialized hardware platforms. You will actively engage in
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, proof assistants, term rewriting systems, optimizing compilers, program analysis tools, constraint solvers, or similar. Familiarity with linear algebra libraries and high-performance computing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
oncology by pursuing two main directions: (1) leveraging clinical and multi-omics data to generate hypotheses, uncover novel cancer vulnerabilities, and optimize therapeutic strategies, and (2) developing AI
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postdoctoral fellow with interest in organic chemistry and radiopharmaceutical development. Successful candidates will join the Molecular Imaging Program at Stanford within the Department of Radiology, Stanford
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, climate, and human health. Examples of current active projects include: Developing optimization models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems