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Controlled-Release Fertilizers, Agronomy, Agricultural Sciences, and process development Job Qualifications: PhD in applied Chemistry, Materials Science, Chemical Engineering, Agronomy, Agricultural Sciences
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Framework Programme? Not funded by a EU programme Reference Number AE2025-0599 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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, and analytics capabilities. Administer, maintain, and optimize enterprise data platforms, including performance tuning, security controls, integration reliability, and compliance with governance
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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modelling, and classical OR); Designing intelligent release, workload control and material planning methods that stabilize flow, improve on-time delivery, and reduce firefighting; Integrating uncertainty
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and advanced solutions for optical wireless networking — from physical-layer modulation and optical multiple-input multiple output (MIMO) to network orchestration and adaptive link control. You will
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.) Integration of Renewable Energy, AI-optimized management of variable renewable energy resources, smart inverter control and distributed energy resource coordination, energy storage optimization using machine
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been established in the control, monitoring and optimization of complex dynamic systems in mining, energy, automotive, food, agriculture and process industry. As part of RECAT, you will collaborate with
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); ii) Implementation and validation of the methodology for analyzing various hydrocarbon fractions using GC-FID; iii) Optimization of hydrocarbon analysis processes for compounds between C10–C40 using GC
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command, and post-incident review processes Leadership & Team Management - Hire, train, supervise, and evaluate SOC staff - Guide Intelligence Unit integration and collaboration - Foster a high-performance