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operations research skills (optimization, graph theory, logistic models). 4. Language: Fluent (oral and written) English skills. ***APPLICATION 1.Deadline: 15th April 2026 All details here: https
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responsibilities. Experience Essential: E1 Experience of analysing human body movement from sensor data (eg RGB videos and/or MOCAP data) using Deep Neural Networks (such as Graph Convolutional Networks). E2
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positions for distinguished professorship. Candidates in areas including, but not limited to, Algebra, Number Theory, Geometry, Topology, Combinatorics, Graph Theory are encouraged to apply. Responsibilities
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Multi-modal Machine Learning-including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human
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data. 2. Ability to enter data and update graphs using a computer program. 3. Ability to communicate effectively in both verbal and written form. 4. Ability to remain calm and patient during challenging
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software systems Well-developed analytical skills and corresponding ability to summarize results in charts, graphs, and reports. Demonstrated professionalism, sensitivity, and discretion in handling
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with expertise in Combinatorics and Graph Theory. DEPARTMENT: The mathematics program at Otterbein is unique in that mathematics majors begin, in their first semester, a study of advanced calculus and
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. A particular focus of the project will be on: 1) Graph Neural Networks for cosmology, neutrino and/or collider physics, 2) Domain adaptation methods / model robustness, 3) Uncertainty quantification
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clustering, entropy metrics, and graph-based representation of tumor architecture. Dimensionality reduction and feature stability analysis will be performed using correlation filtering, stability selection
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services utilization, maternal and infant health outcomes, and racial and social inequities and summarize results from analyses into data tables, graphs, figures, and presentations. They will support