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data, conduct statistical analyses. Assist researchers with interpretation of statistical test results. Create graphs, tables, and charts to depict results. Develop narrative descriptions of results
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 20 days ago
, promoting trustworthiness. Four research profiles are available under this context: Profile 1 (P1) – Development of methodologies based on graph neural networks and foundation models to integrate multiple
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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, Distributed Ledger (blockchain), Language Technologies, Mixed Reality, Recommender Systems, Distributed Systems and Graph Theory. A full list of computer science faculty members is available here: https
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
the form of graphs to analyze and predict food-effector systems. Key Responsibilities Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data Multi-omics integration
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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visualization environments Optimize scene graphs, memory management, asset streaming, and runtime performance Contribute to research proposals and peer-reviewed publications Generative AI Integration Generative
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pangenome graphs, and identify trait-associated structural variants. Moreover, we have developed imputation methods that provide accurate genotypes in pedigreed populations, and haplotype-based association
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, processing, analysis, presentation (writing, graph production, image production and oral presentations at national/international conferences) and storage of experimental data in accurate, secure, detailed and
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, Circulab at SU will be used extensively for accelerated materials design, characterisation and discovery. Data sets and multiscale modelling that spans over atomic structures, molecular graphs