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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 1 month ago
/undertaking dr hab. Szymon Toruńczyk Description of programme/project/undertaking The combination of methods from logic and graph theory has been extremely successful in the design of algorithms, in complexity
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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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graph theory, complex dynamical systems, computational mathematics, data science, difference equations, financial mathematics, mathematical biology and modeling, numerical analysis, numerical linear
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. You will: Develop and apply novel graph learning based methods for predicting the synthesisability of organic molecules Develop and apply novel neurosymbolic AI methods to chemical problems If appointed
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that combine the power and speed of AI with the reliability of physical theory. Magnetic materials have considerable potential as novel memory and computing devices due to their stability and routes to low power
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., pivot tables, vlookups, graphs. The position will learn project management/controls process and tools used in the initiation stages of project planning through execution and closeout phases of a project
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are looking for strong candidates who would complement and/or strengthen existing research areas in our department (which currently includes discrete mathematics, optimization, graph theory, algorithms
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Theory, Queuing Theory, Age of Information), Network Calculus, Graph Theory, Convex and Non-convex Optimization, Approximation Algorithms. An excellent Master’s degree in Computer Science, Engineering
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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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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and