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Description The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description andautomatically compute an optimal solution to it. Often, users
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domains. Information You will work under the supervision of Alexandra Lassota and Frits Spieksma in the Combinatorial Optimization group (link ) within the Department of Mathematics and Computer
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equations, non-linear analysis, graph theory, combinatorial optimization using metric-type structures, algebraic structures in analysis and topology, statistics and probability theory, application of data
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, comprising three major points: the full use of the selective labeling potential of cell-free protein synthesis, in the context of combinatorial labeling approaches for sequential assignments; the introduction
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implementation, targeting emerging computing hardware. You will also evaluate these ideas in real-world domains such as signal processing and combinatorial optimization, where efficient solutions can have major
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making (MAAD), information and communication systems (SIC) and decision support tools for production and services (ODPS). The candidate will be working in the Combinatorial Optimization theme in the MAAD
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holders, in the scientific area of Industrial Engineering and Management or similar areas, enrolled in a non-degree-granting course . Knowledge of simulation and combinatorial optimization, as
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optimization, including integer, nonlinear, and combinatorial optimization; global and non-convex optimization; machine learning for optimization; explainable artificial intelligence; heuristic and metaheuristic
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or optimization Constrained or combinatorial query evaluation Data modeling under uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping
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holders, in the scientific area of Industrial Engineering and Management or similar areas, enrolled in a non-degree-granting course . Knowledge of simulation and combinatorial optimization, as