Sort by
Refine Your Search
-
advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
-
employment may be available at the end of the initial 2.5 years. The successful candidate will conduct research in the area of Artificial Intelligence and Data Analysis in relation to topics such as graph and
-
of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different
-
knowledge graphs into a simulation-as-a-service middleware. Performing software engineering and data management tasks in support of the realisation of this architecture. Exploring and evaluating different
-
FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
multiple genome alignment to identify gene loss in plants and investigating its links with species divergence and adaptive traits in various plant clades, e.g., Orchidaceae, Poaceae, Solanaceae, Brassicaceae
-
processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML, graph theory, and optimization techniques Furthermore, our
-
on knowledge graphs and graph neural networks. Health data is indefinitely siloed, split across various systems and formats, using different ontologies, making it challenging to integrate, harmonize, and analyze
-
Differential Equations, and Graph Neural Networks. The objective is to measure and predict evolutionary forces and spatial cell interactions in healthy versus cancerous tissues, ultimately identifying
-
in some fashion. Mathematically, a network is 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
-
, graph theory, and optimization techniques Furthermore, our activities are experimentally driven and supported by the COMMLab , the 6GSPACE Lab , the CSATLab , the HybridNetLab , the QCILab , our SW