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(primary and hPSCs derived). • Protein Purification. • Tau seed characterization and optimization. • Development and implementation of an in vitro reconstituted model. • Analysis of the effect of tau seed
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CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 109772 Research on understanding and optimization techniques for transformer models, with
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Description Industrial PhD: Application of artificial intelligence and data analytics to the optimization of industrial processes Where to apply E-mail doctorats.industrials.recerca@gencat.cat Requirements
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stress conditions. 5. Project Name & Code PID2024-161778OB-I00: Tree Growth Optimization by Identifying Molecular Enhancers of Developmental Plasticity for Climate Resilience and Resource Sustainability
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data analysis; maintain, optimize, and document acquisition protocols for reproducibility and scalability; stay updated with the latest developments in microscopy automation and scientific
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student will be mainly involved in developing the activities to achieve specific objectives of the project: To develop and optimize respiratory organoids derived from relevant host/reservoir animal species
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aims to accelerate materials development through digital methodologies, combining robotic automation of experimental tasks with artificial intelligence to optimize processes and establish composition
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methods (CASSFCF/NEVPT2). - Stage 2: Support in the analysis of molecular diffusion processes through membranes by means of molecular dynamics studies, oriented to optimize the response as MRI contrast
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artificial intelligence. Good knowledge of linear algebra and optimization tools. Good programming skills in Python and Matlab. Good written and oral communication skills in English. Specific Requirements
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, optimize, and document acquisition protocols for reproducibility and scalability; stay updated with the latest developments in microscopy automation and scientific instrumentation. Requirements: · Education