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facilities, and validation. Job description Characterization of powdered materials for ink formulation DIW process development for ceramic and TE materials, including parameters optimization and evaluation
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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cytometry for phenotypic and functional readouts. Culture and maintain mammalian cell lines and primary immune cells (e.g., PBMCs). Contribute to assay development, optimization, and troubleshooting Analyse
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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Department of Applied Mathematics Research Assistant Professor in Optimization and Operations Research / Statistics and Data Science / Financial Mathematics / Engineering and Computational
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) nanosheets for low-pressure hydrogen storage applications. This position involves close collaboration with academic and industrial partners to design innovative nanomaterials and optimize their performance
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be used in order to optimize the different growth processes. Crystals will be oriented and shaped then characterized by optical spectroscopy, X-ray diffraction as well as by various chemical and
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/rDA). • Optimizing reaction conditions. • Assessing the generality of ihDA/rDA sequences. • Translating reactions into flow chemistry for real-time NMR monitoring (in collaboration with ANR SOFTNMR
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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
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lab duties, including troubleshooting and optimization of experimental protocols, managing inventory and regulatory compliance, training and mentoring new personnel. Bachelor's degree in biological