316 requirements-engineering-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions in Netherlands
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in the European multi-level legal framework, due diligence processes on technology acquisition, governance, and risk assessment, digital fairness and transparency, digital ecosystem engagement, and the
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applications, and EO data analytics Behavioural competencies Education A master's degree in a relevant engineering subject is required for this post. Additional requirements You should also: demonstrate
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on learning, instruction, and educational technology within the team Educational Sciences at Erasmus University Rotterdam. The project is enabled by research funding from the Dutch Knowledge Institute
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the development of next-generation integrated photonic chips for optical clocks, integrated light sources for quantum technology and advanced integrated microwave photonic chips for 6G telecommunications and beyond
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clearly and purposefully and enjoy working in an academic environment. You take initiative and work in a structured way. You enjoy connecting with others and sharing your knowledge. You work in a results
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and current quantum technologies, motivating the need for a powerful and practical alternative. In 2020 we introduced the concept of reconfigurable nonlinear processing units: RNPUs, Nature 577, 341-345
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frameworks and familiarity with security certification Behavioural competencies Education A master’s degree in a relevant engineering subject is required for this post. Additional requirements A minimum of ten
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simulation models. Often building on gaming technology, these systems offer an immersive environment where players can explore the real world, adapt it, and inspect simulated effects. Geospatial digital twins
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This job opening is for the purposes of Reserve list recruitment on multiple positions. ESA is initiating a Reserve list recruitment process to meet the consistently high demand for Contracts
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: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning