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traffic data processor capable of performing tasks like flow classification, anomaly identification or intrusion detection at Gbps without the need for external hardware or time-consuming cross-plane
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PhD Position – Development of metal-organic frameworks-glass composites for sustainable applications
to be interested in multidisciplinary work and motivated to learn from a variety of scientific fields. Experience in the field of metal-organic frameworks (MOFs) and crystallography is desired. Experience
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Institute of Health (ICS). A dynamic scientific environment of excellence, where cutting-edge biomedical projects are continuously developed. Continuous learning and career development pathways. Flexible
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
Degree or equivalent Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications The position requires: an MSc degree in Computer Science
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
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Institute of Health (ICS). A dynamic scientific environment of excellence, where cutting-edge biomedical projects are continuously developed. Continuous learning and career development pathways. Flexible
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, environmental, and resource economics. Ideal candidates are those wishing to acquire research experience for a subsequent Ph.D. in Economics. Due to the short term appointment, applicants must have a Spanish tax
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expertise in analysing complex quantitative and computational data and/or rich qualitative data. • Proficiency or skills to learn a statistical software (e.g., R, Stata, Python). • Interest in contributing
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workflows). Ability to work effectively in English within an international research environment. High learning agility and a structured approach to complex problem-solving. Assets (Desirable, but not
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for converged Wireless-opTical cOnfiguratioNs”. The research will cover three key pillars: Artificial-Intelligence (AI)-driven models in the access domain, focusing on CF technology to efficiently acquire Channel