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. They will also be responsible for developing and integrating electronic circuits, camera modules, various sensors, and embedded control systems. Responsibilities include relevant modeling, simulation, and
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machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Familiarity with multi-domain simulation tools (e.g., Matlab, Simulink, Octave) and modeling techniques Experience with AI, ML methods of time
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activities, including AI model development, simulation-based studies, and multi-disciplinary collaboration across radiology, engineering, and other clinical disciplines. The Assistant Professor may be required
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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or graduate student. ● Experience working with high school students and faculty. ● Experience with Model UN or National Museum of American Diplomacy simulations. ● Supervisory and/or
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friendly mode of transportation, but noise and vibration remain a major environmental challenge for the railway sector. Therefore, a wide range of numerical models have been developed for the prediction
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simulation plays an essential role for the aerospace industry, enabling cost-effective design and optimization of GT systems. However, several challenges remain, particularly in achieving both accurate and
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that bridge quantitative modeling and qualitative approaches. Postdoctoral researcher in peri-urban energy planning and sufficiency Your tasks Develop and apply optimization and simulation models to assess
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques
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/conditioning, 2D/3D models, implantation into the chorioallantoic membrane (CAM) model, and phenotypic/molecular analyses to study tumor heterogeneity, EMT-related traits, and drug response. The successful