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Field
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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). Understanding of IoT integration, metering protocols (Modbus, MQTT), and DER operations. Knowledge of cryptography, consensus algorithms, and security best practices. Prior experience in energy markets
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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theoretical analysis, including stability estimates and convergence proofs, to guarantee the reliability of the developed algorithms. Design and execute high-fidelity numerical simulations for PDE-based models
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accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform performance, power, and area
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hospitals. PRIMARY DUTIES AND RESPONSIBILITIES: The qualified candidate will focus on developing new algorithms, including agentic artificial intelligence approaches, for the clinical integration
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data-driven analysis algorithms for the assessment of thin-film solar cell fabrication processes within NOMAD Oasis installations. The team is responsible for the installation and development of (meta
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Creation and/or adaptation of large-scale datasets for research and algorithm evaluation Be part of a research team in the execution of funded research projects Assist in drafting of proposals for new
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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, and uncontrolled approximation errors. In this project, we aim to develop novel diffusion and flow-based models, and associated algorithms, which can more efficiently and effectively solve inverse