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outstanding research potential in all fields of Discrete Mathematics with emphasis on Structural Graph theory, Extremal Graph Theory, Combinatorial Optimization, Matroid Theory, and Algorithms. This appointment
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"prophet inequalities (a mathematical optimization problem) and their applications in computer science and economics." "Prophet inequality (mathematical optimisation problem) and their applications in
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expertise in Operations Research, Management Science and Business Analytics with a focus on fundamental research in combinatorial and stochastic optimization for business applications. In teaching, the
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Experience in developing heuristic and exact methods (e.g., branch-and-bound/branch-and-cut) to address combinatorial optimization problems pertaining to the fields of operations management and logistics
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., cores, memory hierarchy, accelerators, interconnects) and software-level decisions (e.g., task mapping, scheduling, compiler optimizations), which together lead to a combinatorial explosion of possible
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manipulation Develop and optimize reporter cell line platforms with integrated fluorescent markers for cellular state transitions Establish large-scale screening protocols using CRISPRa and transposon-based
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design, data mining, machine learning, and combinatorial optimization. The Doctoral student are expected to be able to publish high-quality papers and develop research prototypes. After the qualification
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of focus include random graphs and trees (combinatorial properties, scaling limits, coalescent and branching structures, random matrix theory), stochastic and Lévy processes in infinite-dimensional spaces
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candidates with expertise in Operations Research, Management Science and Business Analytics with a focus on fundamental research in combinatorial and stochastic optimization for business applications. In
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of focus include random graphs and trees (combinatorial properties, scaling limits, coalescent and branching structures, random matrix theory), stochastic and Lévy processes in infinite-dimensional spaces