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institution of TUM Campus Heilbronn that uses data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning
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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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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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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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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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. Strong publication record in top-tier venues. Solid background in one or more of the following: Query processing or optimization Constrained or combinatorial query evaluation Data modeling under
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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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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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. Solid background in one or more of the following: ● Query processing or optimization ● Constrained or combinatorial query evaluation ● Data modeling under uncertainty or imprecision ● Design and
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of a research program exploring the mathematical foundations of quantum information, with particular interest in topological, combinatorial, and optimization-based methods. Candidates with expertise in