40 evolution "https:" "https:" "https:" "https:" "https:" "https:" "ISCTE IUL" "ISCTE IUL" Postdoctoral research jobs at Oak Ridge National Laboratory
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Requisition Id 15721 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development and implementation of novel quantum algorithms for materials simulation, with
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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supercomputing resources. The candidate will also contribute to the development of large-scale identity and key management solutions. We are a leader in computational and computer science, with signature strengths
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to scientific domains. Publish research outcomes in peer-reviewed journals and conference venues, setting benchmarks and proposing methodologies for cross-disciplinary readiness challenges. Aid in the development
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/Responsibilities: Depending on background and interest, responsibilities may include: Neuromorphic & ML Algorithm Development: Development and training of Spiking Neural Networks (SNNs) for clustering
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cement additives, and annulus area as key variables in reducing total drilling cost. This project expands the analysis to other aspects of geothermal well development including well completion, production
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at scale. Experience in HPC and associated software development for applications, middleware, and/or system software. Flexibility to adapt to diverse R&D projects and tasks. Effective communicator in both
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Department of Energy (DOE). ORNL’s CCP conducts world-class research and development in multi-scale computational coupled physics, large scale data analytics and DL, and model-data integration at the DOE’s
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manufacturing technologies, and product, systems, and materials development. Responsible for presenting and reporting research results and publishing scientific results in peer-reviewed journals in a timely
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
above as well as nanoscale experiments with domain-informed AI/ML algorithms. In addition to fundamental science discovery, the research will pursue development of automated workflows and novel ML