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and interdisciplinary data integration develop new AI-based methods, tools, scripts, ontologies and a knowledge graph based on RTG research results and relevant literature provide methodological support
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learning-based methods and interdisciplinary data integration develop new AI-based methods, tools, scripts, ontologies and a knowledge graph based on RTG research results and relevant literature provide
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graduate course work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind rehabilitation. Of 101 graduate offerings available, 30 lead to a doctoral degree
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complexity, approximation algorithms, extremal combinatorics, structural graph theory, and related fields. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education
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the creation and management of organized research project portfolio with project dashboard for data tracking. Work independently to produce tables, charts, graphs for manuscript and grant preparation from
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diverse range of pivotal fields, including (but not limited to): Nonlinear PDEs, Geometric Analysis, Harmonic & Functional Analysis, Algebra, Number Theory, Coding & Cryptography, Graph Theory
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University of Massachusetts Dartmouth | Dartmouth, Massachusetts | United States | about 16 hours ago
AT HIRE: Knowledge of state and local electrical codes Knowledge of the principles and theory of electricity Knowledge of basic algebra Knowledge of basic arithmetic Knowledge of the types and uses of small
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management of organized research project portfolio with project dashboard for data tracking. Work independently to produce tables, charts, graphs for manuscript and grant preparation from sources including
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to students pursuing degrees through the doctoral level. More than 20 percent of its 25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL