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Fotograf Morten Hjertø 30th April 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in AI-Enabled Uncertainty Analysis
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Publish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning Collaborate with industry partner to tackle challenges of practical
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, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at https://www.cdm.depaul.edu/academics/Pages/School-of-Computing.aspx . Qualifications
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mathmatical modeling. The candidate should also have a PhD or other advanced degree in a food or engineering related field. Knowledge of food formulation, sensory analysis, extrusion technology, machine
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computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Requirements: Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information
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time. Part-time faculty serve in a remote capacity at the University. This position is for the designated college and will report to the Faculty Manager. Part-time faculty teach courses that may begin
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Computing with subjects across Computer Science, Philosophy and Statistics including software engineering, computer systems, cybersecurity, databases and data engineering, ethics and artificial intelligence
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an emphasis on technology, data science and the humanities. For more details, please view https://www.ntu.edu.sg/medicine . We are looking for a Research Fellow to conduct AI for medicine research. The role
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24th April 2026 Languages English English English The Department of Mathematical Sciences has a vacancy for a PhD Candidate in Mathematical Foundations of Machine Learning for Sequential Data Apply
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Sessional Lecturer - PPG2012H-S-Topics: Applied AI Systems & Governance: Technology, Policy & Practi
-world policy applications to equip students with the knowledge and tools needed to engage with AI at both strategic and operational levels. Students will learn how modern machine learning models work