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Your Job: We are looking for a researcher to develop and apply machine learning models for genomic data in our lab. We focus on sequence analysis, genomics, semantics, and cross-domain data
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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. We leverage advanced technologies like semantic data processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
phonological, syntactic, and semantic changes over time, inferring cognates and constructing language phylogenies. By offering more efficient methods for processing large, complex datasets, these AI-powered
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have a solid background in at least two of the following areas: Computer vision for object detection and/or semantic segmentation Anomaly Detection Efficient multi-modal perception Foundation models
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static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim
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skills (e.g., Python, R) and familiarity with semantic web technologies (e.g., RDF, OWL). A good collaborator and listener, with a questioning mindset. Excellent attention to detail. Ability to think
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
is available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc position will include, but is not limited to, multimodal+embodied semantics, human-like language
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
is available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc position will include, but is not limited to, multimodal+embodied semantics, human-like language
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approaches and experience in using semantic segmentation or instance segmentation is desired. Experience in working with multimodal data fusion and high-resolution remotely sensed data is required. Proficiency