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Field
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-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be
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are, for instance, active in the fields of incidence geometry, abstract polytopes, discrete optimization, graph theory, convex polytopes, non-commutative algebra, (non-commutative) algebraic geometry, homological
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– Friday, 8 a.m. – 5 p.m. Summary Intern/Aide will receive training in health communication theories and research approaches. This includes training in experimental design, protocol execution, data
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and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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: o Quantitative analysis, e.g. descriptive statistics from survey data, creating basic data visuals such as bar graphs using Excel or other software, OR o Qualitative analysis, e.g. coding
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: extremal graph theory, Ramsey theory, probabilistic combinatorics. • Candidates should have (or be near completion of) a PhD in mathematics. • Candidates should have a strong research record in Combinatorics
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graph theory, for example with graph-based methods would be considered an asset. Experience with data collection and hardware setup; prior hands-on hardware development would be considered an asset
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/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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graph theory, complex dynamical systems, computational mathematics, data science, difference equations, financial mathematics, mathematical biology and modeling, numerical analysis, numerical linear