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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 13 days ago
). Traditional inversion methods treat these waves as coupled (working with the full displacement), but separating them offers significant potential to improve the accuracy of the inversion. The successful
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. Some experience with first-principle methods (FP/DFT) and/or other forms of electronic and magnetic structure theory and calculations is also expected. The successful candidate will have a strong
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
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in context, e.g., reacting to a partner’s gesture, resembling an object they refer to in the environment. Exploring how these models can enhance human-computer interaction and improve our understanding
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Mississippi. Apply computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate
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record-keeping. Key Responsibilities: · Research (90%) o Designing and performing experiments in a methodical, scientific manner using advanced biomedical research techniques o Developing and
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of study aims. Key Responsibilities: · Research (85%) o Designing and performing experiments in a methodical, scientific manner using advanced biomedical research techniques o Developing and
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technologies—and eager to accelerate their discovery with machine learning and materials theory? Are you passionate about linking atomistic processes to device performance through computer simulations? Are you
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 22 hours ago
and refine methods to address new mathematical questions. Contribute to publications, proposals, and joint projects with internal and external partners. Present and discuss results at seminars and
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enhance human-computer interaction and improve our understanding of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU