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( VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot
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integration of machine learning into quantum chemical methods and molecular simulation. A particular focus will be on the development, application, and evaluation of modern machine-learning methods
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improve simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc
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Quantitative Finance at EPFL seeks postdocs to reinforce our research in quantitative finance with a focus on applied machine learning. Main duties and responsibilities Working and collaborating on research
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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collaboration with the industrial partner PhotonFirst and aims to quantify model parameters and their variations as such providing data for the Physic-Informed Machine Learning model. Your profile The
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big-data lake ecology research using techniques from statistics and computer science (e.g., statistical modeling, machine learning, data mining). Knowledge of open science tools (e.g., Github, Zenodo
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experimental design. Collaborate with another postdoc in the NIH Center to use scientific machine learning (SciML) to automatically select mathematical models from data. Choose Duke. Duke University is
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. Candidates with a strong background in theoretical and computational chemistry or physics will be preferred, but candidates with a solid background in statistics, machine learning, computer science
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in leading international conferences and journals in machine learning, computational biology, and AI for science The postdoc will work at the interface of machine learning, genomics, and scientific