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and transient inverter modeling and different applications of the simulation. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self-motivated
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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skills will make a difference. You’ll be working for a university that is internationally recognized for our academic programs and research. Your work will contribute to operational excellence and enhance
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will be to develop novel or improve existing AI algorithms and conduct investigations aimed at improving our understanding of the evolution and function of microbiomes. You will be responsible
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Help us shape conversations, build communities, and create content that matters. At the University of Lincoln, we’re proud to do things differently. In a sector often defined by safe, predictable
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of the challenge at once. First, you will create ways for AI models to weave very different kinds of information—images, text, heart-rate graphs, blood glucose—into a single language, so the resulting model can
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Bias in Amino-Acid Substitution Patterns Prediction, Modeling, and Refinement of Nucleic Acid Structures Profile of the graduate The graduate understands key areas of informatics, such as algorithms and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
retrieval algorithm development with focus on using the polarimetric signals, the new FIR or sub-mm bands, and/or the ML/AI approach; (3) ML/AI application on system/pattern tracking on satellite images
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interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Position Summary: As a senior research scientist with proven expertise in advanced
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algorithms (convex/nonconvex, stochastic/robust, MPC) for real-time dispatch, frequency regulation, and DER coordination. Integrate data-driven and physics-informed approaches for state estimation, forecasting