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on the integration of multi-energy systems in electricity markets. Models will be developed for the optimal management of distributed resources in multi-vector contexts, considering the most suitable optimization
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of appointment. * Candidate's CV must state qualifications or if pending upon submission. Preferred Qualifications: Ability to work independently Application Process: Please apply online at https
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of historical and real-time data will be processed to improve crop profiles and tailor growth plans. The project includes using advanced algorithms to link various irrigation, nutrient, and telemetry datasets
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Science Objectives: The goal of this activity is to create and validate Big Data analysis methods for digital twins in hydroponics. The system processes massive datasets to refine crop models and individual
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. Design, implement, and optimize data pipelines that support the university's modernization strategy. Contribute to the design of our future cloud-native data architecture and the selection and
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hands-on role ideal for someone who enjoys problem-solving, data integrity, and process optimization in a collaborative, higher education environment. Create a Job Match for Similar Jobs About The
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into a leading global University shaping the future. https://nusit.nus.edu.sg/ Job Description The Senior Principal Engineer/Associate Architect is responsible for providing technical leadership in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 14 hours ago
optimal transport methodologies. Your tasks Analyse disease mechanisms, facilitated by cutting-edge data from techniques like spatial transcriptomics and protein mass spectrometry Contribute
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Number AE2025-0515 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0515.pdf CALL FOR GRANT
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, resource optimization and financial policy. This position integrates financial analysis, forecasting, modeling, and data-driven insights to support strategic decision-making and ensure CAPS’s fiscal