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Science, Machine Learning, Computational Linguistics or a related field, if applicable with PhD previous experience in Natural Language Processing, knowledge Graphs, Machine Learning or Recommender Systems
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how such generalizations can be used to obtain efficient algorithms for geometric intersection graphs. The project will be supervised by prof. Mark de Berg. Information As a PhD student working on
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
dynamics data and advanced graph-based deep learning models to decode long-range communication pathways within macromolecular complexes. The PhD candidate will play a central role in this effort by
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based on graph theory and complex networks for the analysis of structured data. The research will investigate computational approaches for representing and analysing relationships between entities through
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02115 Contact Email heather_viana@hms.harvard.edu Salary Range Information regarding postdoctoral fellow salary, which is determined by the number of years post-PhD, can be found at https
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for a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1
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(FTE): 1 FTE; 100% Regular/Temporary: Regular About the Job: U-Spatial is seeking a Geospatial Data Engineer / Research Data Analyst to design and implement a sustainable, graph-based data infrastructure
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-skogsgenetik/ Read more about our benefits and what it is like to work at SLU: https://www.slu.se/om-slu/jobba-pa-slu/ PhD Student: DDLS integrative pangenomics of polyploids Project description This PhD project
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: https://www.slu.se/institutioner/vaxtbiologi-skogsgenetik/ Read more about our benefits and what it is like to work at SLU: https://www.slu.se/om-slu/jobba-pa-slu/ PhD Student: DDLS integrative
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities