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research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross
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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 to medieval
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector
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, STATA or other appropriate software, including risk modeling and applications of statistical, machine learning, and artificial intelligence approaches. Additional responsibilities include preparing graphs
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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 to medieval
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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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Omer Ben-Neria Logic, set theory Shai Evra Graph theory, representation theory, number theory Adi Glucksam Complex analysis, potential theory, and dynamics Or Hershkovits Geometric analysis
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 19 days ago
, basées sur la théorie des graphes et les réseaux neuronaux (en collaboration avec L. Bonati de l'IIT Genova, qui a développé la bibliothèque mlcolvar, https://github.com/luigibonati/mlcolvar ). 2
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treatment or vaccine options. More information about the lab’s research can be found at https://abrahamlab.med.harvard.edu/ . This position is especially well suited for candidates seeking 2–3 years
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molecular level. To yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and