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20 Mar 2026 Job Information Organisation/Company University College Cork Department HR Research Research Field Environmental science » Other Researcher Profile Recognised Researcher (R2) Positions
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agreements, and budget constraints. Sponsorship for work authorization is not available for this position. For more information on Civil Service classifications, please visit the SUCSS web site at https
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performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
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Hands-on experience with machine learning algorithms and developing/testing complex software systems Basic understanding of hardware/embedded software development Additional Requirements (MSCA Eligibility
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individual hired for this role will be a key contributor to the design, development, and testing of embedded systems used in the control modules of autonomous oceanographic floats. These systems support
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-class university guided by our updated 2025 vision and mission, PolyU is committed to advancing excellence in education and high-impact research, nurturing global talent, and contributing
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to education environments. One such innovation is Terracotta (https://terracotta.education ), a plugin to the learning management system that makes it easy to conduct experimental research studies in real course
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benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Agroecological Performance Assessment Research subject: Crop production science Description: Assessing how
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among is the top ten research universities in the nation for federal research expenditures as
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network security, hardware and embedded system security, cryptography, privacy-preserving and trustworthy computing, AI-driven security and adversarial machine learning, security of cyber-physical and