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developing morphing surfaces enabled by Shape Memory Alloys (SMAs). These adaptive winglets are designed to optimize aerodynamic performance by responding to temperature variations and incorporating active
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skills and experience in written, spoken, and collaborative work in English. What we offer: A career path optimized for transition to industry. You will be affiliated with the dynamic Aalto Scientific
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mark on the national, continental, and global stages. Job Description: We are seeking a postdoctoral researcher specialized in the modeling and optimization of waste management systems. The successful
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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work on optimization and optimal control related to partial differential equations with emphasis on new developments related to machine learning and data science. Your profile: • Doctorate related
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applications. Thus, the successful candidate will work mainly towards developing a cascade extraction and process scale-up, contributing to the development, optimisation, and scale-up of clean/green extraction
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-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning
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electrified (A-PRIME) water desalination technologies to support a circular water economy; 2) optimizing the coordinated operation of decarbonized water and energy systems; and 3) supporting the design and
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-state batteries. Perform materials synthesis, characterization, and device fabrication process Interpret test data to enhance device performance Optimize device design based on test results and
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University Abu Dhabi seeks to recruit a post-doctoral associate to work on research centering around infrastructure systems and the environment under the supervision of Dr. Ahmad Bin Thaneya. The post-doctoral