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Apply Now How to Apply Applications should be sent to [email protected] and [email protected] with the subject line: Postdoctoral Application - Granular materials using graph theory. Interested
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(m/f/d) in Graph Learning. Project overview This position offers a rare opportunity to contribute to the future of machine learning for graph-structured data. While machine learning has transformed
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To support the UrbanHeatMap project, which aims to develop scalable, high-resolution ambient temperature mapping methods by integrating outdoor microclimate measurements, mobile sensing data, satellite-derived land surface temperature, and urban morphology information. The Research Assistant...
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air temperature maps • Develop and train Graph Neural Network (GNN) and Long Short-Term Memory (LSTM) architectures to model complex spatial and temporal dependencies in urban microclimate data
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://dimag.ibs.re.kr/ Successful candidates for the research fellowship positions will be new or recent PhDs with outstanding research potential in all fields of Discrete Mathematics with emphasis on Structural Graph
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– “EnergyKnow: Knowledge-driven smart building energy management with heterogeneous energy systems”. He/She will be required to: (a) develop and integrate knowledge-graph and AI methods for heterogeneous
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] Duties The appointees will assist the project leader in the research project – “Algorithms for databases and graphs: Scalable, trustworthy, and intelligent data analytics”. Qualifications Applicants
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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, such as InfiniBand and Ultra Ethernet. Our project will also deliver a comprehensive set of PyTorch libraries, encompassing various optimized models for scientific applications, including Graph Neural