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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 15 days ago
applications, · test and optimize the developed software, · work in the team under national and international projects, · collaborate on publication activities of research outcomes. Full time equivalent: 1,0
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State University of New York University at Albany | Albany, New York | United States | about 21 hours ago
executive leaders); demand management (efficient capture and assessment of project requests); project and project portfolio management (project selection, portfolio optimization, resource allocation, and
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selection and optimization Evidence of scientific engagement and emerging thought leadership in Quantitative Clinical Pharmacology and Pharmacometrics. Quantitative Systems Pharmacology (QSP) Candidate PhD in
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focus on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has
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personalized attention for optimal student engagement in a residential setting with opportunities for a variety of transformational experiences through experiential learning. The university's beautiful and
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personalized attention for optimal student engagement in a residential setting with opportunities for a variety of transformational experiences through experiential learning. The university's beautiful and
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implemented globally. The research includes optimization of the electrochemical processes for mercury removal as well as safe and efficient retrieval of the removed mercury and regeneration of electrodes
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drilling data, digital‑twin methodologies, and AI‑driven optimization approaches to address fundamental challenges in hard‑rock drilling. As a PhD candidate, you will benefit from close supervision, access
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale
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Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with research groups to help identify