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are exploring which methods are suitable under which conditions to solve combinatorial optimization problems better than purely classical methods. Possible topics for a master's thesis include, for example
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large-scale optimization and theoretical combinatorial optimization, algorithmic reasoning remains a significant challenge for artificial intelligence. Our lab’s research is driven by the observation
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], which states that random neural networks can be pruned to approximate a large class of functions without changing the initial weights. We are also interested in Neural Combinatorial Optimization, where we
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hits using in vitro (cell lines, organoids) and in vivo (mouse xenograft/PDX models) systems. They will optimize protocols for NGS library preparation, CRISPR-Cas9 editing, and high-throughput molecular
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combinatorial panning methods, including phage and mRNA display, to identify de novo peptides for promising biomarkers lacking a natural ligand or lead structure. We then optimize peptide ligands for affinity and
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University Seattle campus. Course topics include High-performance Computing, VLSI Design, Advanced Machine, Learning Combinatorial Optimization and Statistical Inference. Responsibilities include preparation
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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
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(PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research in parallel computing, search
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automated planning, reinforcement learning, logic or combinatorial optimization. Furthermore, candidates should have excellent study results, very good programming skills and high proficiency in oral and