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communication system architectures. In particular, candidates should be able to actively work on the integration of communication infrastructure and information processing technology to advance new communication
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 4 days ago
1 Apr 2026 Job Information Organisation/Company INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA Research Field Engineering » Computer engineering Researcher Profile
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such as miniaturization of NV sensors. Experience in systems engineering and process optimization is preferred. Key Responsibilities: Conduct research activities related to product design and engineering
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for high-performance engines. Gas-path control and argon closed-loop system design for optimal engine operation and efficiency. The position includes a multi-disciplinary project collaborating with leading
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announcing a selection process for an indefinite employment contract within the framework of a Line of Research: R&D line: Biological Systems Engineering: Synthetic Biology for Biotechnological Applications
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nurtures an atmosphere of inclusion, respect, and open-mindedness in which all members can flourish. Connections working at CUNY NYC College of Technology More Jobs from This Employer https
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Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team
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Engineering » Sound engineering Engineering » Computer engineering Technology » Dating techniques Technology » Telecommunications technology Researcher Profile First Stage Researcher (R1) Positions Bachelor
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the programme Where to apply Website https://radningarkerfi.orri.is/?s=45918 Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications Ph.D. degree in Industrial Engineering or
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team comprising computer engineers, architects, designers, urban planners, and local administration professionals. In collaboration with project partners, you will: Apply machine learning techniques