22 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at Carnegie Mellon University
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-source modeling and collaborative research. The successful applicant will play a central role in developing and applying Tools for Energy Model Optimization and Analysis (Temoa), a widely used open-source
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and assessing weld quality of mechanical parts in real-time by developing machine learning models that use sensor data and other tasks that are assigned to you. Core Responsibilities: Understanding
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. The successful candidate will contribute to cutting-edge research in the modeling, design, fabrication, characterization, and system integration of MEMS quartz resonators for next-generation precision micro
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collaborative research community. The successful candidate will develop a research and teaching agenda related to meta-research, evidence synthesis, open science, and research improvement using open source tools
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demands in key economic sectors due to emerging AI technologies. The postdoctoral researcher will help extend this agenda through theoretical development, empirical testing and evaluation of the model and
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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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machine learning. It focuses on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of
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-technical audiences We are seeking a highly motivated postdoctoral researcher to work on 3D Vision-Language-Action (VLA) models for robotics and embodied AI. The position will focus on developing new methods
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opportunity to work at the intersection of computational neuroscience, psychology, and applied mathematics. Core responsibilities include: Focus on decision-making, linking computational models and mathematical