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25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind rehabilitation. Of 101 graduate offerings
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graphics programs, library search programs, graphing and statistical analysis programs, and Laboratory Information Management and Quality Assurance programs. Preferred Qualifications BS degree in
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qualification. Professional assignment: Chair of Scalable Software Architectures for Data Analytics (Prof. Dr. Michael Färber) Research areas: Natural Language Processing, Large Language Models, Knowledge Graphs
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student employment opportunities, and training Composes and prepares a variety of correspondence, operational manuals, course syllabi, outlines, exams, reports, graphs, forms, flyers, brochures
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essential for learning complex distributions over structured data such as text, graphs, and biological sequences. Developing and understanding models for dis- crete spaces is therefore a key challenge in
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., precision functional mapping, graph theory, hierarchical clustering, etc.) to clinical brain imaging data. This position provides an excellent opportunity to contribute to research that bridges systems
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Carolina is inviting applications of two postdoctoral associates in the area of mathematical foundations of data science, AI, Graph Theory, Optimization, Probability Theory in a broader sense. The candidates
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: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph
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implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic pathway prediction. Apply deep learning techniques to predict reaction outcomes, optimize reaction conditions
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for regular meetings with the PI, conduct independent research, produce a literature review, offer independent analysis of findings, and create graphs, statistical output, charts, maps when requested