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inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native
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-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based
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-reciprocity of spin waves Angular Momentum of Magnons Magnetically doped Transition Metal Dichalcogenide Thin Films via Molecular Beam Epitaxy Modeling of a magnonic diode based on spin-wave non-reciprocity in
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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modelling, microgrid technologies, and simulation-based research. Key Responsibilities Participate in and manage the research project with the PI, Co-PI, and team to design a robust mobile DC microgrid
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based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation
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-on expertise in Modelica-based tools and familiarity with HVAC systems and ASHRAE standards • Strong proficiency in modelling platforms, data analysis, and optimization techniques • Good communication skills and
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
to interpret spectroscopic observations made by the Spitzer Space Telescope and to plan future observatories. Theoretical models of multi-planet solar systems are being used to interpret ground-based radial
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. The project will focus on closed-loop experimental design, model-based and data-efficient reinforcement learning, and integration of AI models with real-world laboratory systems. The Postdoctoral Fellow will
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developed the SPARCED pipeline to convert structured lists of species, parameters, and reaction types into an SBML (Systems Biology Markup Language) model file, and we created a model based on one