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imaging. Novel data workflows will be developed to allow parallel multi-element measurements. The project is interdisciplinary, combining instrument development, analytical chemistry, laser physics and
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organ, on our labs own dedicated multiphoton confocal. In parallel, genomics data existing within the lab will be mined to identify candidate genes. Combining live and fixed confocal analysis, as
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part of the Software Technology group . Research in this group focuses on using and improving functional programming languages such as Haskell and Agda, in particular for parallel computing, software
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imaging over multiple generations. In parallel we will build upon our new experimental and computational framework that links phenotype to function at the single-cell level (named “Look-Seq2”). Strong
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(HPC/parallel environments), and open/reproducible release of data and analysis scripts under FAIR principles. Dissemination through high-impact journal publications and conference presentations in solar
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. In parallel, the project aims to establish and apply a zebrafish avatar model to examine the role of selected aquaporins in cancer cell invasion and metastatic spread in vivo. Your job responsibilities
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such as RNA FISH probe generation followed by imaging at the Imaging core, 3) RNA secondary structure analysis with methods such as FISH 4) RNA functional genomics with methods such as massively parallel
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
efficient parallelism for (1) high-order quadrature rules, and (2) HDG dense-matrix operations. - With the help of the developer's team, propagate the key-finding into the main app Hawen. We envision
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environments. Leverage cloud object storage (e.g., Amazon S3) for data staging and artifacts; implement parallel, secure data movement and lifecycle policies. Basic Qualifications: Ph.D. in Computer Science
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML