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of the ANR Lamorsim project (https://anr.fr/Project-ANR-23-CE08-0029 ). The main objective of this project is to develop methodologies for achieving controlled laser-induced amorphization of silicon. In this
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include: Designing and conducting research projects and experiments Analyzing and interpreting data and results Optimizing protocols Writing manuscripts, abstracts, and progress reports Presenting findings
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: Ensure reproducibility and scalability; modify surface chemistry for biocompatibility and stability. Formulate and optimize solution: Integrate nanozymes into a clinically relevant solution formulation
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) with advanced surface-finishing techniques. In particular, the project involves the design, fabrication, and optimization of endoscopic clips made of Nitinol, a nickel–titanium alloy that exhibits
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) thermal spray coatings with optimized composition Where to apply Website https://www.unimore.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy
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University of California, San Francisco | San Francisco, California | United States | about 3 hours ago
cash management processes. • Provide guidance to UCSF leadership on optimization opportunities and best practices. Accounts Receivable Analysis & Reporting • Produce and interpret A/R performance
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prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation
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of the proposed doctoral individual project: The doctoral candidate will carry out the individual project titled: “Optimization of Functionally Graded Osteochondral Scaffolds” Objectives: 1) analyse existing FEM
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testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs
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. Today, performance programming is no longer limited to optimizing low-level code. It often includes using domain-specific compilers, constraint programming libraries, complex performance models, and