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increased independence and less supervision, with an emphasis on optimizing trial processes and ensuring adherence to regulatory standards. This is a full-time, 40-hour per week position. As a hybrid role
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combining scientific depth with execution ownership. You will be involved in hiring, procurement, and process optimization. You will become part of the leadership team with a competitive compensation package
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Process Optimization ? Author data policies, processes, and procedures per best practice data management standards to support the data governance program, data governance initiatives, and data projects
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 10 days ago
processes and waste generation points. - Characterization of industrial waste and wastewater. - Optimization of waste management and proposals for improvement. - Developing strategies based on the circular
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 10 days ago
, fabrication, and optimization of electrochemical devices, exploring novel electrode materials, miniaturization strategies, and real-time analytical capabilities for diverse applications, including biosensing
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, implementation, testing and continuous optimization the Research Accounting systems capabilities for research financial management, analysis and reporting. This newly established role will work closely with
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clinical care and providing services to the community that focus on obtaining optimal health. Your Role on the Team The staff physician provides comprehensive integrative medicine and/or functional medicine
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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Characterization of LAM Model Deployment on Edge-Cloud Optimization of LAM Model Deployment on Edge-Cloud Simulation of LAM Model Deployment on Edge-Cloud Where to apply Website https://www.uniovi.es/conocenos/rrhh
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autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the