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Field
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, urban networks (such as, electric grid and transportation networks), and urban disasters with a strong geospatial focus, statistical methods, graph theory, spatial computing, and semantic knowledge
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activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a mentor for the postdoctoral appointee. Additional Department Summary
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hematopoietic development and stem cell research. This will entail working with teams of PhD-level researchers and staff to conceptualize projects and conduct extensive benchtop research. This position will also
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data and machine learning processing pipelines. It will also focus on developing AI algorithms for semantically enriching data assets with domain knowledge, which feed into building knowledge graphs
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as required. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture Expertise with advanced graphing and/or data analysis
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represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships between objects. A common
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learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded
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of personalized solutions we offer. Welcome to the UKE. PhD position / Postdoc position (all genders) in AI for biomedical data analysis Part time | Temporary | Hamburg Eppendorf UKE_Zentrum für Molekulare
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for publication and knowledge translation. Writes statistical methodology sections of grant proposals. Leads data visualization, through the use of charts, tables, graphs, maps, infographics, and dashboards
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for knowledge representation, such as knowledge graphs and semantic web technologies? If so, we have an exciting opportunity for you! Why This Role is Special As a KTP Associate, you will be