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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 16 hours ago
validation stage of a compact biosensor for the rapid detection of a protein-nature parasitic allergen in seafood. Specifically, the work involves optimizing the biosensor interface to ensure robustness
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) process. As a Postdoctoral Research Fellow, you will play a pivotal role in developing a computational framework to predict the solution-phase structure and stability constants of metal-ligand complexes
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The project: Non-destructive testing (NDT) is vital to ensure structures are safe and to reduce operating costs by facilitating predictive maintenance. The focus of this project is on improving
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to pursuing
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implementing changes where necessary. Develop and manage maintenance budgets, track expenses, and make informed decisions about resource allocation to optimize costs. Work with various teams to ensure facility
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Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow at the Section for Autonomous Systems
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this new tool to improve knowledge regarding respiratory muscle structure and function within the Intensive Care Unit (ICU) with the ultimate goal to improve the management of these patients. Three different
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mentoring for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz-juelich.de/en
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, is on the cutting edge of sustainability in construction and design and is accelerating the continued economic development of the region. About the Job Reporting dually to the Assistant Vice Provost
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include: Performing numerical simulations of magnetic systems to generate magnetometry data for the ML training process, Implementing and testing various neural network architectures to optimally analyze