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to the Jorf Lasfar Supply Chain Mohammed VI Polytechnic University (https://www.um6p.ma/en ) is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned
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understanding of the underlying physical mechanisms and to leverage this knowledge to develop predictive tools for optimizing the design and control of wind farms. Research scope and responsibilities Depending
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Framework Programme? Not funded by a EU programme Reference Number AE2025-0551 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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scheduling to optimize clinic flow and access. Key Responsibilities Patient Experience, Access, and Scheduling Deliver positive, effective customer service to patients, families, visitors, and staff in
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to elevate the division’s web presence and deliver a cohesive, modern user experience. Uses data from Google Analytics to measure the effectiveness of content strategies, identify trends, and optimize content
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, implementation, maintenance, and optimization of our database systems. The role requires hands-on expertise in database management, performance tuning, backup/recovery strategies, and troubleshooting complex
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and corrosion beneath protective coatings. Duties include specifying and optimizing the flash excitation source and infrared (IR) camera system, developing data acquisition protocols, and performing
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The SENSUM project aims to address the study, modeling, and optimization
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University of California San Francisco | San Francisco, California | United States | about 6 hours ago
selecting methods, techniques, and evaluation criteria to achieve optimal results. Regularly collaborating with internal and external stakeholders, they ensure alignment between organizational plans and
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 11 days ago
. Through advanced Machine Learning and Deep Learning technologies, it seeks to automate agronomic processes, optimize resource use, and maximize production in a sustainable way. Main duties Design