15 machine-learning-phd-in-netherland Postdoctoral positions at University of Central Florida
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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for energy yield prediction. - Develop models for performance loss rate analysis. - Conduct time series analysis and apply machine learning techniques to assess PV and energy storage system performance
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have expertise and experience in executing density functional theory (DFT) calculations, microkinetic modeling, kinetic Monte Carlo simulations, and Machine learning methods. Minimum Qualifications: Must
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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-level understanding of kinetics in solid-solid phase transitions; Develop advanced machine learning methods for the fast prediction of materials properties; Publish results in peer-reviewed journals and
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The Opportunity: The Post Doctoral Scholar will be part of a collaborative initiative between the Department of Electrical and Computer Engineering at the University of Central Florida (UCF) and
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integrate in vivo mouse models and proteomics via mass spectrometry to uncover mechanisms of immune reprogramming and therapeutic response. Minimum Qualifications: PhD in Biomedical Sciences, Bioengineering
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on several NSF and NIH-funded projects focusing on metacognitive processes and self-regulated learning across learners, STEM, and biomedical learning tasks and domains, using serious games, simulations, and
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independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social
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system The successful candidate will collaborate closely with Dr. Mc Keown and a PhD student to run experiments of CO2 and water sublimation under low pressure conditions, as well as develop 3D topographic