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will generate actionable insights for communities, healthcare providers, educators, and policymakers. Ultimately, it seeks to enhance climate and health resilience while examining how timely climate
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contract basis, renewable subject to performance and project needs. Project Title: Profiling Academic Trajectories and Heterogeneity of Low-Progress Learners for Enhancing Learning Support (PATHS) Project
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contract basis, renewable subject to performance and project needs. Project Title: Profiling Academic Trajectories and Heterogeneity of Low-Progress Learners for Enhancing Learning Support (PATHS) Project
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enterprises (SMEs). The postdoc will work at the intersection of cybersecurity, machine learning, and human centered system design, contributing to the research on privacy aware monitoring, attacker modelling
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on building “bicycles for the mind”, algorithms that enhance (rather than automate) human capabilities. The Machine Learning Researcher serves as a computational scientist and technical lead, supporting
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close to completing their qualification. They should have experience in systems engineering, simulation, digital modelling, machine learning, artificial intelligence, or digital twin (model, shadow, twin
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related subject, or be close to completing their qualification. They should have experience in systems engineering, simulation, digital modelling, machine learning, artificial intelligence, or digital twin
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PhD qualification degree in Electronic Engineering or Computer Science Familiarity with pinching antennas and machine learning Good written and oral communication skills Proficiency in python
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-learning acceleration at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). The position is supported by the EU Horizon project CIRES and offers the opportunity
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22 Apr 2026 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions Postdoc