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-coordinate the ARCHAI project, ensuring close collaboration between the AMGC and FLAIR teams Contribute to the development of machine learning methods for archaeological predictive modelling / site discovery
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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analysis, model development, and signal processing techniques for seabed characterization. The position is budgeted for an initial two-year period and may transition to a full-time Research Scientist
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echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans. You will be responsible for the design and testing of original machine-learning based methods for fetal heart
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
experimental stem cell biology, human and mouse model systems, and machine learning approaches for phenotyping, target discovery, and therapeutic evaluation. Will be hired by the MIT Jameel Clinic for Machine
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of mathematical modeling, with a particular focus on stochastic modeling, optimization and more recently machine learning. Indeed, over the last years, the team’s activity has been marked by a strong shift toward
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
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. - Strong expertise in multiscale/multiphysics modeling relevant to catalysis, and experience with machine learning models. - Deep understanding of reaction kinetics, thermodynamics, and structure-reactivity
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 17 hours ago
or machine learning applied to plant traits. Candidates with strong quantitative skills, interest in interdisciplinary collaboration, and motivation to explore crop performance in novel environments may find
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
experimental stem cell biology, human and mouse model systems, and machine learning approaches for phenotyping, target discovery, and therapeutic evaluation. Will be hired by the MIT Jameel Clinic for Machine