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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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d’Université Côte d’Azur, 2004 Route des Lucioles, 06902 Sophia-Antipolis, France Context and project: Due to its proven versatility, optimal transport (OT) is becoming more and more popular within the machine
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
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The Data Analyst/Engineer II is responsible for designing, developing, and operating structured databases to optimize usage and accessibility. Manages data integration and coordinates other efforts
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genome sequencing and related molecular biology techniques Development, implementation and optimization of protocols (e.g., DNA/RNA extraction, library prep) User training and troubleshooting Coordination
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Join our interdisciplinary team to design and execute large-scale pooled CRISPR and Perturb-seq screens that close knowledge gaps identified by AI tools. Core responsibilities Develop and optimize
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transformative BCI devices. Key Responsibilities Process Development & Optimization Develop, optimize, and document fabrication processes within your specialization (EBL, DUV Stepper, Photolithography, or PVD
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, CT, and other imaging techniques. Design and optimize multiparametric models to analyze complex imaging datasets and extract clinically relevant features. Develop and optimize newer clinically relevant
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candidates, optimizing the design of therapeutics, and guiding predictions of clinical outcomes. The goal of this cluster hire is to advance U-M’s leadership in drug discovery by integrating cutting-edge AI
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) and brings together expertise in protein engineering, advanced microscopy, and machine learning. Our goal is to develop a protein biosensor optimization pipeline that integrates high-throughput